{
    "Adamax_test.py:test_adamax_cpu": {
        "operations": [
            5.0910000481962925e-06,
            7.418199993480812e-05,
            4.101900003661285e-05,
            3.202999982931942e-05,
            4.853000064031221e-06,
            2.76050000138639e-05,
            3.0362999950739322e-05,
            2.7020000061384053e-05,
            4.895000074611744e-06,
            3.951999997298117e-05,
            4.777000003741705e-05,
            3.5339000078238314e-05,
            4.364000005807611e-06,
            3.088999983447138e-05,
            4.649899983633077e-05,
            3.597499994612008e-05,
            4.79999994240643e-06,
            2.9300999813131057e-05,
            4.0579000142315635e-05,
            2.839599983417429e-05,
            4.564999926515156e-06,
            2.5993000008384115e-05,
            3.0917000003682915e-05,
            2.8221999855304603e-05
        ],
        "test_time": 1.4116478339999503
    },
    "Adamax_test.py:test_adamax_xla": {
        "operations": [
            8.124000032694312e-06,
            4.450599999472615e-05,
            8.172900015779305e-05,
            5.419600006462133e-05,
            2.552199998717697e-05,
            7.137800002965378e-05,
            3.934899996238528e-05,
            6.131099985395849e-05,
            3.709300017362693e-05,
            0.00010977200008710497,
            5.8932000001732376e-05,
            0.00011138600007143395,
            1.5698999959568027e-05,
            8.677599998918595e-05,
            5.147000001670676e-05,
            0.00011489699977573764,
            3.924299994650937e-05,
            9.273399996345688e-05,
            4.446100001587183e-05,
            5.157800001143187e-05,
            1.2703000038527534e-05,
            9.068899998965207e-05,
            3.931099990950315e-05,
            8.870899978319358e-05
        ],
        "test_time": 730.6463549539999
    },
    "Conv3d_test.py:test_Conv3d_depthwise_naive_groups_cpu_float16": {
        "operations": [],
        "test_time": 0.0021669059997293516
    },
    "Conv3d_test.py:test_Conv3d_depthwise_naive_groups_cpu_float32": {
        "operations": [],
        "test_time": 0.0011683769998853677
    },
    "Conv3d_test.py:test_Conv3d_depthwise_naive_groups_cpu_float64": {
        "operations": [],
        "test_time": 0.0010269210001752072
    },
    "Conv3d_test.py:test_Conv3d_depthwise_naive_groups_xla_float16": {
        "operations": [],
        "test_time": 0.0015551999999843247
    },
    "Conv3d_test.py:test_Conv3d_depthwise_naive_groups_xla_float32": {
        "operations": [],
        "test_time": 0.0012904700001854508
    },
    "Conv3d_test.py:test_Conv3d_depthwise_naive_groups_xla_float64": {
        "operations": [],
        "test_time": 0.0011714020001818426
    },
    "Conv3d_test.py:test_Conv3d_groups_nobias_cpu": {
        "operations": [
            0.02647977800006629,
            0.0004975169999852369,
            0.0003474080003798008
        ],
        "test_time": 1.0251362280000649
    },
    "Conv3d_test.py:test_Conv3d_groups_nobias_xla": {
        "operations": [
            0.00020584100002452033,
            0.0004245350000928738,
            0.0002917130000241741
        ],
        "test_time": 0.029354465999858803
    },
    "Conv3d_test.py:test_Conv3d_groups_wbias_cpu": {
        "operations": [
            0.00023951100001795567,
            0.0003372250002939836,
            0.0003181450001648045
        ],
        "test_time": 0.031048051999732706
    },
    "Conv3d_test.py:test_Conv3d_groups_wbias_xla": {
        "operations": [
            0.00020546500036289217,
            0.0003407080002943985,
            0.00031885999987935065
        ],
        "test_time": 0.054624448999675224
    },
    "Conv3d_test.py:test_Conv3d_module_same_padding_cpu": {
        "operations": [
            0.00022570400005861302,
            0.00027243400018051034,
            0.00017403800029569538
        ],
        "test_time": 0.3114567259999603
    },
    "Conv3d_test.py:test_Conv3d_module_same_padding_xla": {
        "operations": [
            0.00021034400015196297,
            0.00024353599974347162,
            0.00021764100029031397
        ],
        "test_time": 0.004880548000073759
    },
    "Conv3d_test.py:test_conv3d_64bit_indexing_cpu": {
        "operations": [
            0.00038684399987687357
        ],
        "test_time": 98.08500061999985
    },
    "Conv3d_test.py:test_conv3d_64bit_indexing_xla": {
        "operations": [],
        "test_time": 0.0017004750002342917
    },
    "Conv3d_test.py:test_conv_cudnn_ndhwc_cpu_float16": {
        "operations": [],
        "test_time": 0.002586121000149433
    },
    "Conv3d_test.py:test_conv_cudnn_ndhwc_cpu_float32": {
        "operations": [],
        "test_time": 0.0013645089998135518
    },
    "Conv3d_test.py:test_conv_cudnn_ndhwc_xla_float16": {
        "operations": [],
        "test_time": 0.0021115229997121787
    },
    "Conv3d_test.py:test_conv_cudnn_ndhwc_xla_float32": {
        "operations": [],
        "test_time": 0.0017325530002381129
    },
    "Conv3d_test.py:test_conv_empty_channel_cpu_complex64": {
        "operations": [
            0.0006292799998846021
        ],
        "test_time": 0.2185097209999185
    },
    "Conv3d_test.py:test_conv_empty_channel_cpu_float32": {
        "operations": [
            0.0003284400004304189
        ],
        "test_time": 0.012816150000162452
    },
    "Conv3d_test.py:test_conv_empty_channel_xla_complex64": {
        "operations": [
            0.04384260100005122
        ],
        "test_time": 1.2207978430001276
    },
    "Conv3d_test.py:test_conv_empty_channel_xla_float32": {
        "operations": [
            0.012647531999846251
        ],
        "test_time": 0.6100399239999206
    },
    "Conv3d_test.py:test_conv_modules_raise_error_on_incorrect_input_size_cpu": {
        "operations": [
            0.0003349869998601207,
            0.0003162729999530711,
            0.0002482750001036038
        ],
        "test_time": 0.1416626370000813
    },
    "Conv3d_test.py:test_conv_modules_raise_error_on_incorrect_input_size_xla": {
        "operations": [
            0.0003459300000940857,
            0.0003270090001024073,
            0.0002905129999817291
        ],
        "test_time": 0.14454385999988517
    },
    "Conv3d_test.py:test_conv_shapecheck_cpu": {
        "operations": [
            0.0003096969999205612,
            0.00013837099959346233,
            0.00012706199959211517,
            0.0002978970001095149,
            0.0001727769999888551,
            0.0001785790000212728,
            0.00024742999994487036,
            0.00015582700007144012,
            0.0001426140001967724,
            0.00040941099996416597,
            0.000232467999921937,
            0.00021594300005745026,
            0.00032749100000728504,
            0.0002481199999238015,
            0.00019636600018202444
        ],
        "test_time": 0.1898456150001948
    },
    "Conv3d_test.py:test_conv_shapecheck_xla": {
        "operations": [
            0.000343988000167883,
            0.00017869300017991918,
            0.00017476199991506292,
            0.00032596800019746297,
            0.00023445299984814483,
            0.00020166700005574967,
            0.00022402900003726245,
            0.00015917400014586747,
            0.00014148499985822127,
            0.00032986799988066196,
            0.00021948299990981468,
            0.00021614499974020873,
            0.0003312270000606077,
            0.00022175200001584017,
            0.00021147500001461594
        ],
        "test_time": 0.07153530699997646
    },
    "Conv3d_test.py:test_invalid_conv3d_cpu": {
        "operations": [
            0.00029542300035245717,
            0.00023622700018677278,
            0.00025206400005117757,
            0.0001681180001469329,
            0.00021032099994044984,
            0.000162771999839606,
            0.00024201899987019715,
            0.0001648630000090634,
            0.0002299399998264562,
            0.00020186599977023434
        ],
        "test_time": 0.09626170299998194
    },
    "Conv3d_test.py:test_invalid_conv3d_xla": {
        "operations": [
            0.00030644100024801446,
            0.00024959399979707086,
            0.0002095149998240231,
            0.0001662469999246241,
            0.00020992800000385614,
            0.0001752680000208784,
            0.00023974199984877487,
            0.00017169000011563185,
            0.0002195150000261492,
            0.00016327000003002468
        ],
        "test_time": 0.09847686700004488
    },
    "Dataset_test.py:test_pin_memory_cpu": {
        "operations": [
            1.3505999959306791e-05
        ],
        "test_time": 0.10297458800005188
    },
    "Dataset_test.py:test_pin_memory_device_cpu": {
        "operations": [
            1.555199969516252e-05
        ],
        "test_time": 0.23148872100000517
    },
    "Dataset_test.py:test_pin_memory_device_xla": {
        "operations": [
            2.470800018272712e-05
        ],
        "test_time": 0.03940005200001906
    },
    "Dataset_test.py:test_pin_memory_with_only_device_cpu": {
        "operations": [
            1.6541000150027685e-05
        ],
        "test_time": 0.001302804999795626
    },
    "Dataset_test.py:test_pin_memory_with_only_device_xla": {
        "operations": [
            1.4184000065142754e-05
        ],
        "test_time": 0.0012414579996402608
    },
    "Dataset_test.py:test_pin_memory_xla": {
        "operations": [
            9.935999969457043e-06
        ],
        "test_time": 0.003298323999842978
    },
    "Dataset_test.py:test_sequential_batch_cpu": {
        "operations": [
            1.1825000001408625e-05
        ],
        "test_time": 1.1324095189997934
    },
    "Dataset_test.py:test_sequential_batch_xla": {
        "operations": [
            1.0743000075308373e-05
        ],
        "test_time": 1.0987192709999363
    },
    "ExponentialLR_test.py:test_sgd_cpu": {
        "operations": [
            5.328000042936765e-06
        ],
        "test_time": 0.8245019159999174
    },
    "ExponentialLR_test.py:test_sgd_xla": {
        "operations": [
            5.607999810308684e-06
        ],
        "test_time": 0.7664782960000593
    },
    "GELU_test.py:test_transformerencoderlayer_gelu_cpu_float32": {
        "operations": [
            0.0008656380000502395,
            0.0009311630001320736,
            0.00099390500008667,
            0.0008822869999676186,
            0.001006785999834392,
            0.0008723679998183798,
            0.000884577000306308,
            0.0008956089995990624
        ],
        "test_time": 0.6501401130003615
    },
    "GELU_test.py:test_transformerencoderlayer_gelu_xla_float32": {
        "operations": [
            0.01950848100022995,
            0.001013628999771754,
            0.0008605799998804287,
            0.000997850999738148,
            0.000999906999822997,
            0.0008509329995831649,
            0.0008156880003298284,
            0.0009732779999467311
        ],
        "test_time": 1.390541717999895
    },
    "LBFGS_test.py:test_lbfgs_cpu": {
        "operations": [
            3.48980001945165e-05,
            3.507800010993378e-05,
            3.451999964454444e-05,
            4.7543999698973494e-05
        ],
        "test_time": 0.5928623539998625
    },
    "LBFGS_test.py:test_lbfgs_xla": {
        "operations": [
            8.280300016849651e-05,
            6.223499985935632e-05,
            5.3249999837134965e-05,
            0.00014603299996451824
        ],
        "test_time": 310.68249841099987
    },
    "RProp_test.py:test_rprop_cpu": {
        "operations": [
            0.00010728799998105387,
            5.4306000038195634e-05,
            2.95439999717928e-05,
            3.083700039496762e-05,
            2.9488000109267887e-05,
            3.0777000119996956e-05,
            6.637699971179245e-05,
            3.6002999877382535e-05,
            4.16430002587731e-05,
            3.7800999962200876e-05,
            3.692800009957864e-05,
            3.6409000131243374e-05,
            5.71539999327797e-05,
            3.3955000162677607e-05,
            3.9896000089356676e-05,
            3.388400000403635e-05,
            3.375899996171938e-05,
            3.329699984533363e-05,
            3.9061000279616565e-05,
            3.98519996451796e-05,
            5.7173999721271684e-05,
            4.089700041731703e-05,
            4.153200006840052e-05,
            4.1078000322158914e-05
        ],
        "test_time": 1.3660422429998107
    },
    "RProp_test.py:test_rprop_xla": {
        "operations": [
            3.415399987716228e-05,
            0.0001633789997868007
        ],
        "test_time": 910.7169386310002
    },
    "Sequential_test.py:test_Sequential_append_cpu": {
        "operations": [
            0.0001233160000992939,
            8.347699986188672e-05,
            0.00014317200020741438,
            8.229800005210564e-05,
            7.168100000853883e-05
        ],
        "test_time": 0.004613355999936175
    },
    "Sequential_test.py:test_Sequential_append_xla": {
        "operations": [
            0.0001227689999723225,
            8.743700027480372e-05,
            9.851900040303008e-05,
            8.283799979835749e-05,
            7.172100004027016e-05
        ],
        "test_time": 0.07399473399982526
    },
    "Sequential_test.py:test_Sequential_delitem_cpu": {
        "operations": [
            0.000111515000298823,
            8.446100036962889e-05,
            7.452800036844565e-05
        ],
        "test_time": 0.0021296770000844845
    },
    "Sequential_test.py:test_Sequential_delitem_xla": {
        "operations": [
            0.00017541299985168735,
            8.973900003184099e-05,
            8.148000006258371e-05
        ],
        "test_time": 0.016094060999876092
    },
    "Sequential_test.py:test_Sequential_getitem_cpu": {
        "operations": [
            9.385800012751133e-05,
            7.640700005140388e-05,
            5.289799992169719e-05,
            7.641800038982183e-05,
            5.209899973124266e-05,
            8.8642999799049e-05
        ],
        "test_time": 0.0027322129999447498
    },
    "Sequential_test.py:test_Sequential_getitem_xla": {
        "operations": [
            0.00014063300022826297,
            0.00014154200016491814,
            6.325000003926107e-05,
            8.086299976639566e-05,
            5.1728000016737496e-05,
            0.00021451800012073363
        ],
        "test_time": 0.09323917900019296
    },
    "Sequential_test.py:test_Sequential_setitem_cpu": {
        "operations": [
            7.86229998084309e-05
        ],
        "test_time": 0.001531366999643069
    },
    "Sequential_test.py:test_Sequential_setitem_named_cpu": {
        "operations": [
            7.893299971328815e-05
        ],
        "test_time": 0.0015821609999875363
    },
    "Sequential_test.py:test_Sequential_setitem_named_xla": {
        "operations": [
            0.00011924399996132706
        ],
        "test_time": 0.015131459999793151
    },
    "Sequential_test.py:test_Sequential_setitem_xla": {
        "operations": [
            0.00011707800013027736
        ],
        "test_time": 0.0826777300003414
    },
    "Subset_test.py:test_slicing_of_subset_of_dataset_cpu": {
        "operations": [
            9.238999609806342e-06
        ],
        "test_time": 0.0022842349999336875
    },
    "Subset_test.py:test_slicing_of_subset_of_dataset_xla": {
        "operations": [
            9.17999977900763e-06
        ],
        "test_time": 0.33842926199986323
    },
    "Subset_test.py:test_slicing_of_subset_of_subset_cpu": {
        "operations": [
            7.0959999902697746e-06,
            2.9110001378285233e-06
        ],
        "test_time": 0.0017798619996938214
    },
    "Subset_test.py:test_slicing_of_subset_of_subset_xla": {
        "operations": [
            1.1432000064814929e-05,
            3.201999788871035e-06
        ],
        "test_time": 0.08049662899975374
    },
    "TransformerEncoderLayer_test.py:test_transformerencoder_cpu": {
        "operations": [
            0.0010017670001616352,
            0.0014774510000279406,
            0.0015344680000453081,
            0.004255296999872371,
            0.0015002539998931752,
            0.004175205000137794,
            0.0006894010002724826,
            0.0008983990001070197,
            0.0014994909997767536,
            0.004066561000399815,
            0.001708205999875645,
            0.004277441000340332,
            0.0006752389999746811,
            0.000956898999902478,
            0.001471947000027285,
            0.0039939680000316,
            0.0014887389997966238,
            0.0040985159998854215,
            0.0006681760000901704,
            0.0009655600001678977,
            0.001415279999946506,
            0.004092252000191365,
            0.001546932000110246,
            0.00409806200013918
        ],
        "test_time": 0.24527314199985994
    },
    "TransformerEncoderLayer_test.py:test_transformerencoder_xla": {
        "operations": [
            0.02094117600017853,
            0.0010598849999041704
        ],
        "test_time": 1.0074799809999604
    },
    "Transformer_test.py:test_Transformer_cell_cpu": {
        "operations": [
            0.18815373899997212,
            0.18025217100012014
        ],
        "test_time": 0.8252168730000449
    },
    "Transformer_test.py:test_Transformer_cell_xla": {
        "operations": [
            0.39295472999992853,
            0.3252522789998693
        ],
        "test_time": 1.0580869660002463
    },
    "adaptiveavgpool3d_test.py:test_adaptive_avg_pool3d_output_size_one_cpu": {
        "operations": [
            8.484099998895545e-05
        ],
        "test_time": 0.019045752999772958
    },
    "adaptiveavgpool3d_test.py:test_adaptive_avg_pool3d_output_size_one_xla": {
        "operations": [
            4.207400024824892e-05
        ],
        "test_time": 1.3210163609996926
    },
    "adaptiveavgpool3d_test.py:test_adaptive_pool_invalid_cpu": {
        "operations": [],
        "test_time": 0.013872728000023926
    },
    "adaptiveavgpool3d_test.py:test_adaptive_pool_invalid_xla": {
        "operations": [],
        "test_time": 0.015931192000152805
    },
    "adaptiveavgpool3d_test.py:test_adaptive_pooling_zero_batch_cpu_float32": {
        "operations": [
            5.082200004835613e-05
        ],
        "test_time": 0.003623868999966362
    },
    "adaptiveavgpool3d_test.py:test_adaptive_pooling_zero_batch_cpu_float64": {
        "operations": [
            4.174000014245394e-05
        ],
        "test_time": 0.001970160999917425
    },
    "adaptiveavgpool3d_test.py:test_adaptive_pooling_zero_batch_xla_float32": {
        "operations": [
            0.00010685799998100265
        ],
        "test_time": 0.2767160370003694
    },
    "adaptiveavgpool3d_test.py:test_adaptive_pooling_zero_batch_xla_float64": {
        "operations": [
            0.00010000800011766842
        ],
        "test_time": 0.23537925400023596
    },
    "add_module_test.py:test_add_module_cpu": {
        "operations": [],
        "test_time": 0.0014430199998969329
    },
    "add_module_test.py:test_add_module_raises_error_if_attr_exists_cpu": {
        "operations": [],
        "test_time": 0.00111039500006882
    },
    "add_module_test.py:test_add_module_raises_error_if_attr_exists_xla": {
        "operations": [],
        "test_time": 0.001469339999857766
    },
    "add_module_test.py:test_add_module_xla": {
        "operations": [],
        "test_time": 0.009817715999815846
    },
    "add_module_test.py:test_named_children_cpu": {
        "operations": [],
        "test_time": 0.0010397860000921355
    },
    "add_module_test.py:test_named_children_xla": {
        "operations": [],
        "test_time": 0.005876990000160731
    },
    "add_module_test.py:test_named_modules_cpu": {
        "operations": [],
        "test_time": 0.0010170489999836718
    },
    "add_module_test.py:test_named_modules_xla": {
        "operations": [],
        "test_time": 0.0037005539998062886
    },
    "add_module_test.py:test_register_buffer_raises_error_if_attr_exists_cpu": {
        "operations": [],
        "test_time": 0.0011494169998513826
    },
    "add_module_test.py:test_register_buffer_raises_error_if_attr_exists_xla": {
        "operations": [],
        "test_time": 0.0011295889999018982
    },
    "add_module_test.py:test_register_parameter_raises_error_if_attr_exists_cpu": {
        "operations": [],
        "test_time": 0.0011868130000038946
    },
    "add_module_test.py:test_register_parameter_raises_error_if_attr_exists_xla": {
        "operations": [],
        "test_time": 0.001219854000282794
    },
    "addr_test.py:test_addr_bool_cpu_bool": {
        "operations": [
            0.024623204999898007,
            0.0010524069998609775,
            3.82299999728275e-05,
            2.5145000108750537e-05,
            2.920500037362217e-05,
            2.3630000214325264e-05,
            4.214799992041662e-05,
            1.9452999822533457e-05,
            1.901599989651004e-05,
            1.378700017085066e-05,
            1.7515999843453756e-05,
            1.3374999980442226e-05,
            1.7405000107828528e-05,
            1.3440000202535884e-05,
            1.755900029820623e-05,
            1.4047000149730593e-05,
            1.8179999642597977e-05,
            1.3913999737269478e-05,
            1.8511999769543763e-05,
            1.3418999969871948e-05,
            1.7395000213582534e-05,
            1.3404000128502958e-05,
            1.676500005487469e-05,
            1.4586999895982444e-05,
            1.8275000002176967e-05,
            1.4262000149756204e-05,
            1.7343999843433267e-05,
            1.4564999673893908e-05,
            1.6370000139431795e-05,
            1.2814000001526438e-05,
            2.8062000183126656e-05,
            2.405400027782889e-05,
            2.6779000108945183e-05,
            2.3096999939298257e-05,
            2.6787000024341978e-05,
            2.313999993930338e-05,
            1.864200021373108e-05,
            1.547700003357022e-05,
            1.7531000139570097e-05,
            1.2694000361079816e-05
        ],
        "test_time": 0.055160403000172664
    },
    "addr_test.py:test_addr_bool_xla_bool": {
        "operations": [
            0.012704622999990534,
            0.0001254500002687564,
            0.00010629999997036066,
            8.812899977783673e-05,
            0.0002654549998624134,
            9.391499997946084e-05,
            0.00010675800012904801,
            0.0001021220000438916,
            7.822799989298801e-05,
            8.449499955531792e-05,
            0.00016896600027394015,
            0.0001066219997483131,
            6.0027000017726095e-05,
            4.6845999804645544e-05,
            0.00015339799983848934,
            7.911699958640384e-05,
            5.333799981599441e-05,
            4.660700005842955e-05,
            5.988000020806794e-05,
            6.721099998685531e-05,
            0.00023814899986973614,
            0.00022996799998509232,
            9.745100032887422e-05,
            6.592999989152304e-05,
            0.0001887630000965146,
            0.0002871600004255015,
            7.04789999872446e-05,
            6.325499998638406e-05,
            6.806600003983476e-05,
            5.958600013400428e-05,
            0.0004467130002012709,
            0.0001383279995934572,
            7.543499987150426e-05,
            8.55419998515572e-05,
            0.00018467300014890498,
            7.931300024210941e-05,
            7.292300006156438e-05,
            7.066199987093569e-05,
            5.547499995373073e-05,
            5.025899963584379e-05
        ],
        "test_time": 41.782402160999936
    },
    "addr_test.py:test_addr_float_and_complex_cpu_bfloat16": {
        "operations": [
            4.543700015346985e-05,
            2.3906000023998786e-05,
            2.495600028851186e-05,
            2.1584000023722183e-05,
            2.4275000214402098e-05,
            2.7569999929255573e-05,
            5.341399992175866e-05,
            3.647999983513728e-05,
            3.5011999898415525e-05,
            2.2157999865157763e-05,
            4.638300015358254e-05,
            2.564999977039406e-05,
            2.8873999781353632e-05,
            2.601000005597598e-05,
            3.4268000035808655e-05,
            6.568300022991025e-05,
            6.347799990180647e-05,
            4.199900013190927e-05,
            2.4486000256729312e-05,
            2.0020000192744192e-05
        ],
        "test_time": 0.07761992599989753
    },
    "addr_test.py:test_addr_float_and_complex_cpu_complex128": {
        "operations": [
            2.389999963270384e-05,
            1.989700012927642e-05,
            3.480400027910946e-05,
            2.2258999706536997e-05,
            4.123999997318606e-05,
            1.9132000034005614e-05,
            2.6122999770450406e-05,
            2.0731999939016532e-05,
            2.0382999991852557e-05,
            5.176500008019502e-05,
            2.5844999981927685e-05,
            2.5268000172218308e-05,
            2.562200006650528e-05,
            2.171100004488835e-05,
            2.5674999960756395e-05,
            2.1441000171762425e-05,
            2.759100016191951e-05,
            2.315600022484432e-05,
            2.1212999854469672e-05,
            1.7065000065485947e-05,
            2.5106000066443812e-05,
            2.0406000203365693e-05,
            3.832700031125569e-05,
            2.248900000267895e-05,
            2.407000010862248e-05,
            2.1001999812142458e-05,
            2.8516999918792862e-05,
            2.327999982298934e-05,
            2.111000003424124e-05,
            1.716899987513898e-05
        ],
        "test_time": 0.04503329699991809
    },
    "addr_test.py:test_addr_float_and_complex_cpu_complex64": {
        "operations": [
            2.255300023534801e-05,
            1.817500015022233e-05,
            2.182300022468553e-05,
            2.739000001383829e-05,
            2.7176000003237277e-05,
            1.8437000107951462e-05,
            2.673900007721386e-05,
            2.1053999716968974e-05,
            1.9766000150411855e-05,
            1.5997999980754685e-05,
            2.2992000140220625e-05,
            1.9767000139836455e-05,
            2.2746000013285084e-05,
            1.9083000097452896e-05,
            2.2728000203642296e-05,
            1.9967999833170325e-05,
            2.816200003508129e-05,
            2.3520000013377285e-05,
            2.6277999950252706e-05,
            1.6182000308617717e-05,
            4.160499975114362e-05,
            1.907499972730875e-05,
            3.9588000163348624e-05,
            2.056299990726984e-05,
            2.278300007674261e-05,
            1.960500003406196e-05,
            2.7648000013869023e-05,
            2.4277999727928545e-05,
            2.1143999674677616e-05,
            1.6946999949141173e-05
        ],
        "test_time": 0.023503354999775183
    },
    "addr_test.py:test_addr_float_and_complex_cpu_float16": {
        "operations": [
            0.03805662000013399,
            4.711500014309422e-05,
            4.795499989995733e-05,
            4.345399975136388e-05,
            4.6890000248822616e-05,
            4.500600016399403e-05,
            0.00012330499976087594,
            6.369300035657943e-05,
            7.373100015684031e-05,
            5.526899985852651e-05,
            0.00011327299989716266,
            6.609999991269433e-05,
            0.00010382799973740475,
            8.030099979805527e-05,
            9.014499983095448e-05,
            6.8171999828337e-05,
            0.00011978100019405247,
            0.00011638499972832506,
            4.547199978333083e-05,
            4.092299968760926e-05
        ],
        "test_time": 0.07096796299993002
    },
    "addr_test.py:test_addr_float_and_complex_cpu_float32": {
        "operations": [
            3.1832999866310274e-05,
            1.7126999864558456e-05,
            2.360700000281213e-05,
            1.6851000054884935e-05,
            2.627000003485591e-05,
            1.633100009712507e-05,
            3.189900007782853e-05,
            1.840699997046613e-05,
            1.8869999621529132e-05,
            1.5639000139344716e-05,
            1.994599961108179e-05,
            1.569300002302043e-05,
            4.83109997730935e-05,
            1.616100007595378e-05,
            2.2047000129532535e-05,
            1.8121999801223865e-05,
            2.3162999696069164e-05,
            1.9257000076322583e-05,
            1.905900035126251e-05,
            1.5542999790341128e-05
        ],
        "test_time": 0.01894656100012071
    },
    "addr_test.py:test_addr_float_and_complex_cpu_float64": {
        "operations": [
            3.1210000088321976e-05,
            1.6398000298067927e-05,
            2.0497000150498934e-05,
            1.5892000192252453e-05,
            1.9505000182107324e-05,
            1.7270000171265565e-05,
            4.6801000280538574e-05,
            3.53559998984565e-05,
            1.8495000404072925e-05,
            2.4623000172141474e-05,
            2.033299961112789e-05,
            1.629899998079054e-05,
            2.110800005539204e-05,
            1.5824000001884997e-05,
            2.0303999917814508e-05,
            1.6460000097140437e-05,
            2.881299997170572e-05,
            1.8491999981051777e-05,
            1.8428000203130068e-05,
            1.5640000128769316e-05
        ],
        "test_time": 0.018306464000033884
    },
    "addr_test.py:test_addr_float_and_complex_xla_bfloat16": {
        "operations": [
            0.00020518699966487475,
            0.00016670400009388686,
            0.00020026699985464802,
            0.00016921699989325134,
            0.000164082000082999,
            0.00013796800021737,
            0.00013876299999537878,
            0.00015505600003962172,
            7.023300031505642e-05,
            0.00011180199999216711
        ],
        "test_time": 18.546904756000004
    },
    "addr_test.py:test_addr_float_and_complex_xla_complex128": {
        "operations": [
            0.023879132000274694
        ],
        "test_time": 5.888391623000189
    },
    "addr_test.py:test_addr_float_and_complex_xla_complex64": {
        "operations": [
            0.004613291999703506,
            9.062499975698302e-05,
            0.0001094150002245442,
            9.082799988391344e-05,
            0.0001754190002429823,
            0.00011359800009813625,
            0.0001249809997716511,
            0.00011450500005594222,
            0.00011423800015109009,
            0.00017117400011557038
        ],
        "test_time": 8.371779093999976
    },
    "addr_test.py:test_addr_float_and_complex_xla_float16": {
        "operations": [
            0.00028733699991789763
        ],
        "test_time": 5.7186267789998055
    },
    "addr_test.py:test_addr_float_and_complex_xla_float32": {
        "operations": [
            0.00018180899996877997,
            0.0002530629999455414,
            0.000247719000071811,
            0.00011713100002452848,
            0.00018082199994751136,
            7.556499986094423e-05,
            0.00020644000005631824,
            7.566699969174806e-05,
            6.722100033584866e-05,
            6.655800007138168e-05
        ],
        "test_time": 8.000097799000287
    },
    "addr_test.py:test_addr_float_and_complex_xla_float64": {
        "operations": [
            0.00019112500012852252,
            6.888500001878128e-05,
            9.25119998100854e-05,
            5.819199986945023e-05,
            0.0001708400000097754
        ],
        "test_time": 7.726218618000075
    },
    "addr_test.py:test_addr_integral_cpu_int16": {
        "operations": [
            2.3844999759603525e-05,
            1.5582999822072452e-05,
            1.8738000107987318e-05,
            1.4053000086278189e-05,
            1.8368000382906757e-05,
            1.42680000863038e-05,
            1.9240999790781643e-05,
            1.4761999864276731e-05,
            1.826900006562937e-05,
            1.2652999885176541e-05,
            2.31839999287331e-05,
            1.5901000097073847e-05,
            2.0017000224470394e-05,
            1.667100013946765e-05,
            2.371300024606171e-05,
            1.4303000170912128e-05,
            2.2357000034389785e-05,
            1.656600034039002e-05,
            1.9179999981133733e-05,
            1.2929000149597414e-05
        ],
        "test_time": 0.027648048999708408
    },
    "addr_test.py:test_addr_integral_cpu_int32": {
        "operations": [
            2.3306000002776273e-05,
            1.4835000001767185e-05,
            1.882899960037321e-05,
            1.3804999980493449e-05,
            1.8148999970435398e-05,
            1.386700023431331e-05,
            1.9333000182086835e-05,
            1.4823000128671993e-05,
            1.8870000076276483e-05,
            1.2599000001500826e-05,
            1.8651999653229723e-05,
            1.3629000022774562e-05,
            1.8617000023368746e-05,
            1.371100006508641e-05,
            1.9257000076322583e-05,
            1.4790000022912864e-05,
            2.079799969578744e-05,
            1.6450999737571692e-05,
            1.6525999853911344e-05,
            1.3511999895854387e-05
        ],
        "test_time": 0.027214863000153855
    },
    "addr_test.py:test_addr_integral_cpu_int64": {
        "operations": [
            2.6587000320432708e-05,
            1.9408000298426487e-05,
            2.14030001188803e-05,
            1.6831000266392948e-05,
            2.3451999823009828e-05,
            1.7717999980959576e-05,
            1.8603000171424355e-05,
            1.4675000329589238e-05,
            1.9297000108053908e-05,
            1.5891000202827854e-05,
            2.4339999981748406e-05,
            1.9178999991709134e-05,
            2.269200012960937e-05,
            1.843999962147791e-05,
            2.313799996045418e-05,
            1.912400011860882e-05,
            1.9986000097560463e-05,
            1.7133999790530652e-05,
            2.037800004472956e-05,
            1.59770002028381e-05
        ],
        "test_time": 0.02684661299963409
    },
    "addr_test.py:test_addr_integral_cpu_int8": {
        "operations": [
            2.471900006639771e-05,
            1.7350000234728213e-05,
            1.949700026671053e-05,
            1.533900012873346e-05,
            1.9377000171516556e-05,
            1.5111000266188057e-05,
            2.0040999970660778e-05,
            1.631299983273493e-05,
            1.811299989640247e-05,
            1.3920000128564425e-05,
            2.1747000118921278e-05,
            1.7597999885765603e-05,
            2.0753999706357718e-05,
            1.7895000382850412e-05,
            2.1486000150616746e-05,
            1.7642999864619924e-05,
            2.1701000150642358e-05,
            1.7796000065573025e-05,
            1.7746000139595708e-05,
            1.4761999864276731e-05
        ],
        "test_time": 0.027108214999771008
    },
    "addr_test.py:test_addr_integral_cpu_uint8": {
        "operations": [
            2.5414999981876463e-05,
            1.76009998540394e-05,
            2.1905999801674625e-05,
            1.7376999949192395e-05,
            2.670399999260553e-05,
            1.7160999959742185e-05,
            2.0404999759193743e-05,
            1.6108000181702664e-05,
            2.1164999907341553e-05,
            3.283399973952328e-05,
            4.7353999889310217e-05,
            1.8121000266546616e-05,
            2.041100015048869e-05,
            2.641399987624027e-05,
            2.2360000002663583e-05,
            1.792599960026564e-05,
            2.2539999918080866e-05,
            1.7825000213633757e-05,
            1.8695000107982196e-05,
            1.4889999874867499e-05
        ],
        "test_time": 0.027436933999979374
    },
    "addr_test.py:test_addr_integral_xla_int16": {
        "operations": [
            0.0013622070000565145
        ],
        "test_time": 9.100244904000192
    },
    "addr_test.py:test_addr_integral_xla_int32": {
        "operations": [
            0.0002276699997310061
        ],
        "test_time": 9.724276759000077
    },
    "addr_test.py:test_addr_integral_xla_int64": {
        "operations": [
            0.0002756989997578785
        ],
        "test_time": 14.180851444000382
    },
    "addr_test.py:test_addr_integral_xla_int8": {
        "operations": [
            0.0002541109997764579
        ],
        "test_time": 10.132822759999726
    },
    "addr_test.py:test_addr_integral_xla_uint8": {
        "operations": [
            0.0004492749999371881
        ],
        "test_time": 10.120576712999991
    },
    "argsort_test.py:test_sort_cpu": {
        "operations": [
            7.540400019934168e-05,
            2.918800009865663e-05,
            1.918599991768133e-05,
            1.5249000171024818e-05,
            0.0005124200001773715,
            0.0005149469998286804,
            0.0005781529998785118,
            0.000530328999957419
        ],
        "test_time": 0.04864074899978732
    },
    "argsort_test.py:test_sort_xla": {
        "operations": [
            5.2210999911039835e-05,
            3.1180999940261245e-05,
            8.21139997242426e-05,
            4.596400003720191e-05,
            6.801100016673445e-05,
            4.345600018496043e-05,
            9.032800016939291e-05,
            4.715100021712715e-05
        ],
        "test_time": 17.08586121899998
    },
    "batch_norm_test.py:test_batchnorm_buffer_update_when_stats_are_not_tracked_cpu": {
        "operations": [],
        "test_time": 0.04726144500000373
    },
    "batch_norm_test.py:test_batchnorm_buffer_update_when_stats_are_not_tracked_xla": {
        "operations": [],
        "test_time": 0.1280006299998604
    },
    "batch_norm_test.py:test_batchnorm_cudnn_half_cpu": {
        "operations": [],
        "test_time": 0.0007537709998359787
    },
    "batch_norm_test.py:test_batchnorm_cudnn_half_xla": {
        "operations": [],
        "test_time": 0.0008018590001483972
    },
    "batch_norm_test.py:test_batchnorm_cudnn_nhwc_cpu": {
        "operations": [],
        "test_time": 0.0007464790000994981
    },
    "batch_norm_test.py:test_batchnorm_cudnn_nhwc_xla": {
        "operations": [],
        "test_time": 0.0008362300000044343
    },
    "batch_norm_test.py:test_batchnorm_nhwc_cpu_cpu": {
        "operations": [],
        "test_time": 0.04391751100001784
    },
    "batch_norm_test.py:test_batchnorm_nhwc_cpu_xla": {
        "operations": [],
        "test_time": 0.01825562500016531
    },
    "batch_norm_test.py:test_batchnorm_nhwc_cuda_cpu": {
        "operations": [],
        "test_time": 0.0010725540000748879
    },
    "batch_norm_test.py:test_batchnorm_nhwc_cuda_xla": {
        "operations": [],
        "test_time": 5.37481218999983
    },
    "batch_norm_test.py:test_batchnorm_non_contig_cpu_cpu": {
        "operations": [],
        "test_time": 0.001930155000081868
    },
    "batch_norm_test.py:test_batchnorm_non_contig_cpu_xla": {
        "operations": [],
        "test_time": 0.0026288220001333684
    },
    "batch_norm_test.py:test_batchnorm_nonaffine_cuda_half_input_cpu": {
        "operations": [],
        "test_time": 0.0012189519998173637
    },
    "batch_norm_test.py:test_batchnorm_nonaffine_cuda_half_input_xla": {
        "operations": [],
        "test_time": 0.017914340000061202
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_bias_is_not_same_size_as_input_cpu": {
        "operations": [],
        "test_time": 0.012640573999760818
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_bias_is_not_same_size_as_input_xla": {
        "operations": [],
        "test_time": 0.012925228999847604
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_less_than_one_value_per_channel_cpu": {
        "operations": [],
        "test_time": 0.0011873640000885644
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_less_than_one_value_per_channel_xla": {
        "operations": [],
        "test_time": 0.0012891070000478067
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input_cpu": {
        "operations": [],
        "test_time": 0.011805512000137242
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input_xla": {
        "operations": [],
        "test_time": 0.011946829999942565
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input_cpu": {
        "operations": [],
        "test_time": 0.011864257999604888
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input_xla": {
        "operations": [],
        "test_time": 0.011786169999595586
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad_cpu": {
        "operations": [],
        "test_time": 0.0010691870002119686
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad_xla": {
        "operations": [],
        "test_time": 0.00209731599989027
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_weight_is_not_same_size_as_input_cpu": {
        "operations": [],
        "test_time": 0.011704407000252104
    },
    "batch_norm_test.py:test_batchnorm_raises_error_if_weight_is_not_same_size_as_input_xla": {
        "operations": [],
        "test_time": 0.011746359999960987
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_broadcasts_pos_weights_cpu": {
        "operations": [
            0.029705891000048723,
            0.00016400499998781015,
            0.00010985399967466947
        ],
        "test_time": 0.03166823699984889
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_broadcasts_pos_weights_xla": {
        "operations": [
            0.00274395300039032,
            0.0010159109997402993,
            0.0006311329998425208
        ],
        "test_time": 5.618542232999971
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_broadcasts_weights_cpu": {
        "operations": [
            0.00013187000013203942,
            7.32099997549085e-05,
            9.365000005345792e-05,
            6.807299996580696e-05
        ],
        "test_time": 0.001778586999989784
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_broadcasts_weights_xla": {
        "operations": [
            0.0018554769999354903,
            0.0006987940000726667,
            0.001225685000008525,
            0.0006119620002209558
        ],
        "test_time": 5.927754677999928
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad_cpu": {
        "operations": [
            0.04319824000003791,
            0.026639254999736295,
            0.013586072999714816
        ],
        "test_time": 0.11047998399999415
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad_xla": {
        "operations": [
            0.0007899930001258326
        ],
        "test_time": 22.036749367000084
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_has_correct_grad_at_zero_cpu": {
        "operations": [
            0.00026932900027532014
        ],
        "test_time": 0.0019122779999634076
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_has_correct_grad_at_zero_xla": {
        "operations": [
            0.001829970000017056
        ],
        "test_time": 0.06017314600012469
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none_cpu": {
        "operations": [
            0.000630477999948198
        ],
        "test_time": 0.0021096919999763486
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none_xla": {
        "operations": [
            3.0145390020002196
        ],
        "test_time": 3.0166493740002807
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_stability_cpu": {
        "operations": [
            0.0001753349997670739,
            0.00014137400012259604
        ],
        "test_time": 0.0016691599998921447
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_stability_xla": {
        "operations": [
            0.0018474290000085603,
            0.0009130819998972584
        ],
        "test_time": 0.11271053900009065
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero_cpu": {
        "operations": [
            0.00029704100006711087
        ],
        "test_time": 0.0019349210001564643
    },
    "bcewithlogitsloss_test.py:test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero_xla": {
        "operations": [
            0.0013483050001923402
        ],
        "test_time": 0.057052182000006724
    },
    "bitwise_not_test.py:test_bitwise_not_cpu": {
        "operations": [
            0.00012103199969715206
        ],
        "test_time": 0.0017628859995966195
    },
    "bitwise_not_test.py:test_bitwise_not_xla": {
        "operations": [
            0.05517292999957135
        ],
        "test_time": 0.1015731429997686
    },
    "broadcast_tensors_test.py:test_broadcast_shapes_cpu": {
        "operations": [
            8.876599986251676e-05,
            1.2028000128339045e-05,
            2.6511000214668456e-05,
            1.4193999959388748e-05,
            1.0820000170497224e-05,
            2.118599968525814e-05,
            1.8851000277209096e-05,
            1.2481999874580652e-05,
            9.897999916574918e-06,
            9.36700007514446e-06,
            1.2687999969784869e-05,
            6.83999996908824e-06,
            1.0652000128175132e-05,
            9.796999620448332e-06,
            9.852000403043348e-06,
            9.641999895393383e-06,
            9.857999884843593e-06,
            9.951999800250633e-06,
            7.089000064297579e-06,
            1.0053000096377218e-05,
            9.673000022303313e-06,
            6.567000127688516e-06,
            1.1746999916795176e-05,
            1.0554000255069695e-05,
            9.468999905948294e-06,
            1.1872999948536744e-05,
            9.555999895383138e-06,
            6.945000222913222e-06,
            9.689999842521502e-06,
            9.355000202049268e-06,
            1.064000025507994e-05,
            6.783000117138727e-06,
            9.557999874232337e-06,
            2.7262000003247522e-05,
            1.135299999077688e-05,
            1.1437000011937926e-05,
            7.914999969216296e-06,
            1.0447000022395514e-05,
            9.60100032898481e-06,
            1.0604999715724261e-05,
            9.675000001152512e-06,
            6.737000148859806e-06,
            9.701000180939445e-06,
            1.082600010704482e-05,
            1.2044999948557233e-05,
            8.31400029710494e-06,
            1.1924000318686012e-05,
            9.90999978967011e-06,
            9.436999789613765e-06,
            9.683999905973906e-06,
            9.494000096310629e-06,
            6.669999947916949e-06,
            1.107400021282956e-05,
            9.651999789639376e-06,
            7.183999969129218e-06,
            1.1798999821621692e-05,
            9.969000075216172e-06,
            1.1551000170584302e-05,
            9.751999641594011e-06,
            1.0773999747470953e-05,
            1.0635999842634192e-05,
            6.820000180596253e-06,
            9.758000032888958e-06,
            6.792000021960121e-06,
            9.86400027613854e-06,
            9.629000032873591e-06,
            9.728000350150978e-06,
            1.0566000128164887e-05,
            9.63100001172279e-06,
            9.718000001157634e-06,
            9.81699986368767e-06,
            6.90099977873615e-06,
            2.245599989691982e-05,
            1.4773999737371923e-05,
            1.9978999716840917e-05,
            3.78419999833568e-05,
            1.77560000338417e-05,
            1.626599987503141e-05
        ],
        "test_time": 0.009135318000062398
    },
    "broadcast_tensors_test.py:test_broadcast_shapes_xla": {
        "operations": [
            2.6140000045415945e-05,
            9.467000381846447e-06,
            0.0005253100002846622,
            0.00039572299965584534,
            0.00040151099983631866,
            2.5101999653998064e-05,
            0.0003913289997399261,
            0.00034916300000986666,
            0.00035163500024282257,
            3.312599983473774e-05,
            1.8104999981005676e-05,
            8.227000307670096e-06,
            0.00036416200009625754,
            0.0003931149999516492,
            0.0003532810001161124,
            0.00035303200002090307,
            0.00033711500009303563,
            0.0003824280001936131,
            2.0000999938929453e-05,
            1.7893999938678462e-05,
            1.1295000149402767e-05,
            7.150999863370089e-06,
            0.0003677899999274814,
            0.0003561739999895508,
            2.2666999939247034e-05,
            0.0003503660000205855,
            0.0003508629997668322,
            2.64410000454518e-05,
            1.8941999769594986e-05,
            1.211400012834929e-05,
            0.00039138200008892454,
            1.2371999673632672e-05,
            0.0003729170002770843,
            0.00033511699984956067,
            0.00034514499975557555,
            0.00032787000009193434,
            2.6316000003134832e-05,
            1.8979000287799863e-05,
            1.2233000234118663e-05,
            0.000406187999942631,
            1.7221000234712847e-05,
            7.750000349915354e-06,
            2.0478000351431547e-05,
            0.00035902499985240865,
            0.0003664139999273175,
            2.535700014050235e-05,
            1.873500013971352e-05,
            1.2287000117794378e-05,
            1.0689999726309907e-05,
            1.135200000135228e-05,
            1.043699967340217e-05,
            7.02700026522507e-06,
            0.00039510099986728164,
            2.7960000352322822e-05,
            2.552600017224904e-05,
            2.0096000298508443e-05,
            1.6109000171127263e-05,
            0.00041483799986963277,
            1.8156999885832192e-05,
            0.00043310699993526214,
            0.000344789999871864,
            1.2456000149541069e-05,
            1.890500016088481e-05,
            3.8441000015154714e-05,
            2.286000017193146e-05,
            1.3110000054439297e-05,
            1.104300008591963e-05,
            1.0680000286811264e-05,
            1.0431000191601925e-05,
            1.0093000128108542e-05,
            1.0161000318475999e-05,
            7.082999673002632e-06,
            2.3706999854766764e-05,
            1.5549000181636075e-05,
            3.273999982411624e-05,
            2.314099992872798e-05,
            1.671700010774657e-05,
            1.5932999758661026e-05
        ],
        "test_time": 0.07357891399988148
    },
    "broadcast_tensors_test.py:test_broadcast_tensors_cpu_float32": {
        "operations": [
            2.6062999950227095e-05
        ],
        "test_time": 0.0010453350000716455
    },
    "broadcast_tensors_test.py:test_broadcast_tensors_xla_float32": {
        "operations": [
            0.0006409749998965708
        ],
        "test_time": 0.002527780000036728
    },
    "cat_test.py:test_cat2_cpu_float16": {
        "operations": [
            7.536500015703496e-05,
            3.2826000278873835e-05,
            2.2739999621990137e-05,
            1.89989996215445e-05,
            3.035100007764413e-05,
            2.4711000151000917e-05,
            6.876999987071031e-05,
            6.178299963721656e-05,
            2.1485000161192147e-05
        ],
        "test_time": 0.005127669000103197
    },
    "cat_test.py:test_cat2_cpu_float64": {
        "operations": [
            2.438199999232893e-05,
            5.100999987917021e-05,
            2.4478000341332518e-05,
            1.5455999800906284e-05,
            2.0696999854408205e-05,
            2.0511000002443325e-05,
            2.3984000108612236e-05,
            2.438000001347973e-05,
            1.616200006537838e-05
        ],
        "test_time": 0.004166379000253073
    },
    "cat_test.py:test_cat2_cpu_int32": {
        "operations": [
            2.3658000372961396e-05,
            2.436300019326154e-05,
            2.079599971693824e-05,
            1.7615000160731142e-05,
            1.986899997064029e-05,
            2.2530000023834873e-05,
            2.926499973909813e-05,
            3.3940999855985865e-05,
            1.7466999906901037e-05
        ],
        "test_time": 0.003916147999916575
    },
    "cat_test.py:test_cat2_xla_float16": {
        "operations": [],
        "test_time": 0.0010956070000247564
    },
    "cat_test.py:test_cat2_xla_float64": {
        "operations": [],
        "test_time": 0.0010190580001108174
    },
    "cat_test.py:test_cat2_xla_int32": {
        "operations": [],
        "test_time": 0.001034828999763704
    },
    "cat_test.py:test_cat_all_dtypes_and_devices_cpu": {
        "operations": [
            1.8634000298334286e-05,
            1.155399968411075e-05,
            1.0846999884961406e-05,
            9.758000032888958e-06,
            1.5984000128810294e-05,
            1.3884999589208746e-05,
            1.1221000022487715e-05,
            1.1469000128272455e-05,
            1.1033000191673636e-05,
            1.13230003080389e-05,
            1.053000005413196e-05,
            1.1184999948454788e-05,
            1.0675999874365516e-05,
            1.096500000130618e-05,
            1.0457999906066107e-05,
            1.5278999853762798e-05,
            1.4417999864235753e-05,
            1.3112000033288496e-05,
            1.1939000160055002e-05,
            1.2443999821698526e-05,
            1.1932999768760055e-05,
            1.2390000392770162e-05,
            9.047999810718466e-06,
            9.195000075123971e-06,
            1.539799995953217e-05,
            1.380200001221965e-05
        ],
        "test_time": 0.004627871000138839
    },
    "cat_test.py:test_cat_all_dtypes_and_devices_xla": {
        "operations": [
            0.0005589529996541387,
            0.00043796599993584096,
            4.074700018463773e-05,
            5.687500015483238e-05,
            0.0004200859998491069,
            0.0004508359997998923,
            0.0004156290001446905,
            0.00046418700003414415,
            0.00045048899983157753,
            0.0004952099998263293,
            4.5868999677622924e-05,
            5.935499984843773e-05,
            0.0006270039998526045,
            0.0007939709998936451,
            0.0005417079996732355
        ],
        "test_time": 1.2627784809997138
    },
    "cat_test.py:test_cat_big_cpu": {
        "operations": [],
        "test_time": 0.0010744269998212985
    },
    "cat_test.py:test_cat_big_xla": {
        "operations": [],
        "test_time": 0.0013357010002437164
    },
    "cat_test.py:test_cat_cpu": {
        "operations": [],
        "test_time": 0.0013163019998501113
    },
    "cat_test.py:test_cat_empty_cpu": {
        "operations": [
            2.346300016142777e-05,
            1.3359000149648637e-05,
            2.2806999822932994e-05
        ],
        "test_time": 0.0018504069998925843
    },
    "cat_test.py:test_cat_empty_legacy_cpu": {
        "operations": [
            2.866100021492457e-05,
            1.3425999895844143e-05,
            1.803699979063822e-05
        ],
        "test_time": 0.0017459340001551027
    },
    "cat_test.py:test_cat_empty_legacy_xla": {
        "operations": [
            0.0002806550000968855,
            1.4725999790243804e-05,
            7.695499971305253e-05
        ],
        "test_time": 2.7421606739999334
    },
    "cat_test.py:test_cat_empty_xla": {
        "operations": [
            0.0003027719999408873,
            0.00028262099976927857,
            0.0011358510000718525
        ],
        "test_time": 3.208282498999779
    },
    "cat_test.py:test_cat_in_channels_last_cpu": {
        "operations": [
            1.8590999843581812e-05,
            1.1146999895572662e-05,
            0.0026019820002147753,
            0.002034510000157752,
            5.646999989039614e-05,
            2.182100024583633e-05,
            0.001068215000032069,
            0.0010766979999061732,
            5.786799965790124e-05,
            1.7218999801116297e-05,
            0.0010501159999876108,
            0.0007836869999664486,
            6.100200016589952e-05,
            1.648299985390622e-05,
            0.001158731000032276,
            0.0007664350000595732
        ],
        "test_time": 0.39942565799992735
    },
    "cat_test.py:test_cat_in_channels_last_xla": {
        "operations": [
            0.0003844950001621328,
            1.422200011802488e-05,
            0.0004815199999939068,
            2.3367999801848782e-05,
            0.001146959999914543,
            2.8500000098574674e-05,
            0.0010220809999736957,
            2.7322000278218184e-05,
            0.0011496110000734916,
            3.1953999950928846e-05,
            0.0011998489999314188,
            2.886399988710764e-05,
            0.0011583270002120116,
            3.189100016243174e-05,
            0.001277899000342586,
            4.162799996265676e-05
        ],
        "test_time": 23.51226456700033
    },
    "cat_test.py:test_cat_mem_overlap_cpu": {
        "operations": [],
        "test_time": 0.05537382299962701
    },
    "cat_test.py:test_cat_mem_overlap_xla": {
        "operations": [
            0.00031940500002747285
        ],
        "test_time": 0.011196916999779205
    },
    "cat_test.py:test_cat_out_channels_last_cpu": {
        "operations": [
            3.3768999855965376e-05,
            2.5796000045374967e-05
        ],
        "test_time": 0.0018322109999644454
    },
    "cat_test.py:test_cat_out_channels_last_xla": {
        "operations": [
            4.9402000058762496e-05,
            3.2700000247132266e-05
        ],
        "test_time": 0.0019056460000683728
    },
    "cat_test.py:test_cat_out_cpu": {
        "operations": [
            2.6880999939749017e-05,
            1.479599995946046e-05,
            2.3711000267212512e-05,
            1.761700013958034e-05,
            2.650599981279811e-05,
            1.9825999970635166e-05
        ],
        "test_time": 0.002330884999992122
    },
    "cat_test.py:test_cat_out_memory_format_cpu": {
        "operations": [],
        "test_time": 0.001099543999771413
    },
    "cat_test.py:test_cat_out_memory_format_xla": {
        "operations": [
            0.0002540830000725691,
            3.7602999782393454e-05,
            1.3472000318870414e-05,
            1.1783999980252702e-05,
            0.0003441750000092725
        ],
        "test_time": 0.0028876229998786584
    },
    "cat_test.py:test_cat_out_xla": {
        "operations": [
            0.0006508689998554473,
            4.5076000333210686e-05,
            0.0003988720000052126,
            3.77660003323399e-05,
            0.0005823530000270694,
            4.2377999761811225e-05
        ],
        "test_time": 5.744666142000369
    },
    "cat_test.py:test_cat_preserve_channels_last_cpu": {
        "operations": [
            1.746299994920264e-05,
            3.2282000120176235e-05,
            1.7502999980933964e-05,
            1.810100002330728e-05
        ],
        "test_time": 0.0016039489996728662
    },
    "cat_test.py:test_cat_preserve_channels_last_xla": {
        "operations": [
            0.00026139599958696635,
            1.735300020300201e-05,
            0.0012322110001150577,
            3.579499980332912e-05
        ],
        "test_time": 2.9695760799995696
    },
    "cat_test.py:test_cat_stack_cross_devices_cpu": {
        "operations": [],
        "test_time": 0.0012018079996778397
    },
    "cat_test.py:test_cat_stack_cross_devices_xla": {
        "operations": [],
        "test_time": 0.0684714150002037
    },
    "cat_test.py:test_cat_xla": {
        "operations": [
            0.0008242250000876084,
            0.0023603190002177143,
            0.0015767979998599913,
            0.0016822690004119067,
            0.0019958170000791142,
            0.0015366549996542744,
            3.2543114800000694,
            3.3850872269999854,
            0.00040647600008014706
        ],
        "test_time": 64.77114622900035
    },
    "concatdataset_test.py:test_add_dataset_cpu": {
        "operations": [],
        "test_time": 0.002347142999951757
    },
    "concatdataset_test.py:test_add_dataset_xla": {
        "operations": [],
        "test_time": 0.002622925000196119
    },
    "concatdataset_test.py:test_concat_raises_index_error_cpu": {
        "operations": [
            1.296499976888299e-05
        ],
        "test_time": 0.0009681110000201443
    },
    "concatdataset_test.py:test_concat_raises_index_error_xla": {
        "operations": [
            1.2047000382153783e-05
        ],
        "test_time": 0.0009015380001073936
    },
    "concatdataset_test.py:test_concat_two_non_singletons_cpu": {
        "operations": [
            1.3798000054521253e-05
        ],
        "test_time": 0.0011462219999884837
    },
    "concatdataset_test.py:test_concat_two_non_singletons_with_empty_cpu": {
        "operations": [
            1.2771999990945915e-05
        ],
        "test_time": 0.001039994000166189
    },
    "concatdataset_test.py:test_concat_two_non_singletons_with_empty_xla": {
        "operations": [
            1.2563999916892499e-05
        ],
        "test_time": 0.0010689679997994972
    },
    "concatdataset_test.py:test_concat_two_non_singletons_xla": {
        "operations": [
            1.1496000297483988e-05
        ],
        "test_time": 0.0010058320003736299
    },
    "concatdataset_test.py:test_concat_two_singletons_cpu": {
        "operations": [
            1.1481999990792247e-05
        ],
        "test_time": 0.0010103179997713596
    },
    "concatdataset_test.py:test_concat_two_singletons_xla": {
        "operations": [
            1.147600005424465e-05
        ],
        "test_time": 0.0010068850001516694
    },
    "concatdataset_test.py:test_iterable_dataset_err_cpu": {
        "operations": [],
        "test_time": 0.0012185109999336419
    },
    "concatdataset_test.py:test_iterable_dataset_err_xla": {
        "operations": [],
        "test_time": 0.0014206479995664267
    },
    "conv2d_test.py:test_Conv2d_1x1_cpu": {
        "operations": [
            0.00035565300004236633
        ],
        "test_time": 0.1239110790002087
    },
    "conv2d_test.py:test_Conv2d_1x1_xla": {
        "operations": [
            0.018811621999702766
        ],
        "test_time": 77.897866497
    },
    "conv2d_test.py:test_Conv2d_OneDNN_cpu": {
        "operations": [
            0.00022911799987923587,
            0.00019840200002363417,
            0.00022224800022740965,
            0.00019768599986491608,
            0.00018852099992727744,
            0.00018857499981095316,
            0.0001911409999593161,
            0.00018043099998976686,
            0.0001849489999585785,
            0.0001764339999681397,
            0.00020207099987601396,
            0.0001909140000861953,
            0.00018221799973616726,
            0.00017592799986232421,
            0.00018567300003269338,
            0.00018955499990624958
        ],
        "test_time": 0.07117629399999714
    },
    "conv2d_test.py:test_Conv2d_OneDNN_xla": {
        "operations": [
            0.003986644999713462,
            0.00017456100022172905,
            0.00019470200004434446,
            0.00017402000003130524,
            0.00020617000018319231,
            0.00015726499987067655,
            0.00017070600006263703,
            0.0001685120000729512,
            0.00023039300003802055,
            0.0001550929996483319,
            0.00017396399971403298,
            0.00016616299990346306,
            0.00020941999991919147,
            0.00016073400001914706,
            0.00017335100028503803,
            0.0001696760000413633
        ],
        "test_time": 0.3983039380000264
    },
    "conv2d_test.py:test_Conv2d_backward_depthwise_cpu_complex128": {
        "operations": [],
        "test_time": 0.0011868879996654869
    },
    "conv2d_test.py:test_Conv2d_backward_depthwise_cpu_float64": {
        "operations": [],
        "test_time": 0.001049291999606794
    },
    "conv2d_test.py:test_Conv2d_backward_depthwise_xla_complex128": {
        "operations": [],
        "test_time": 0.0015057059999890043
    },
    "conv2d_test.py:test_Conv2d_backward_depthwise_xla_float64": {
        "operations": [],
        "test_time": 0.001360079000278347
    },
    "conv2d_test.py:test_Conv2d_backward_twice_cpu": {
        "operations": [
            0.00023873200007074047
        ],
        "test_time": 0.05757528699996328
    },
    "conv2d_test.py:test_Conv2d_backward_twice_xla": {
        "operations": [
            0.0036235669999769016
        ],
        "test_time": 0.012875655999778246
    },
    "conv2d_test.py:test_Conv2d_depthwise_naive_groups_cpu_float16": {
        "operations": [],
        "test_time": 0.0010232659997200244
    },
    "conv2d_test.py:test_Conv2d_depthwise_naive_groups_cpu_float32": {
        "operations": [],
        "test_time": 0.001033204000123078
    },
    "conv2d_test.py:test_Conv2d_depthwise_naive_groups_cpu_float64": {
        "operations": [],
        "test_time": 0.0010187540001425077
    },
    "conv2d_test.py:test_Conv2d_depthwise_naive_groups_xla_float16": {
        "operations": [],
        "test_time": 0.001424499999757245
    },
    "conv2d_test.py:test_Conv2d_depthwise_naive_groups_xla_float32": {
        "operations": [],
        "test_time": 0.0013370839997151052
    },
    "conv2d_test.py:test_Conv2d_depthwise_naive_groups_xla_float64": {
        "operations": [],
        "test_time": 0.0013674169999831065
    },
    "conv2d_test.py:test_Conv2d_deterministic_cudnn_cpu_float16": {
        "operations": [],
        "test_time": 0.0010157009996873967
    },
    "conv2d_test.py:test_Conv2d_deterministic_cudnn_cpu_float32": {
        "operations": [],
        "test_time": 0.001151032999587187
    },
    "conv2d_test.py:test_Conv2d_deterministic_cudnn_cpu_float64": {
        "operations": [],
        "test_time": 0.0010130910000043514
    },
    "conv2d_test.py:test_Conv2d_deterministic_cudnn_xla_float16": {
        "operations": [],
        "test_time": 0.0012895029999526741
    },
    "conv2d_test.py:test_Conv2d_deterministic_cudnn_xla_float32": {
        "operations": [],
        "test_time": 0.0012339790000623907
    },
    "conv2d_test.py:test_Conv2d_deterministic_cudnn_xla_float64": {
        "operations": [],
        "test_time": 0.0010115439999935916
    },
    "conv2d_test.py:test_Conv2d_groups_nobias_cpu": {
        "operations": [
            0.00021606799964501988,
            0.0002651550003065495,
            0.0002606649995868793
        ],
        "test_time": 0.02493751300016811
    },
    "conv2d_test.py:test_Conv2d_groups_nobias_v2_cpu": {
        "operations": [
            0.0002136960001735133,
            0.00023963400008142344,
            0.0002876720000131172
        ],
        "test_time": 0.025754097000117326
    },
    "conv2d_test.py:test_Conv2d_groups_nobias_v2_xla": {
        "operations": [
            0.00023685799988015788,
            0.0002866300001187483,
            0.0002910530001827283
        ],
        "test_time": 0.030295118000140064
    },
    "conv2d_test.py:test_Conv2d_groups_nobias_xla": {
        "operations": [
            0.00016886599996723817,
            0.00022772200009057997,
            0.0002816689998326183
        ],
        "test_time": 0.02265772400005517
    },
    "conv2d_test.py:test_Conv2d_inconsistent_types_cpu": {
        "operations": [],
        "test_time": 0.0038392440001189243
    },
    "conv2d_test.py:test_Conv2d_inconsistent_types_on_GPU_with_cudnn_cpu": {
        "operations": [],
        "test_time": 0.00103069399983724
    },
    "conv2d_test.py:test_Conv2d_inconsistent_types_on_GPU_with_cudnn_xla": {
        "operations": [],
        "test_time": 0.0010092150000673428
    },
    "conv2d_test.py:test_Conv2d_inconsistent_types_on_GPU_without_cudnn_cpu": {
        "operations": [],
        "test_time": 0.0015779820000716427
    },
    "conv2d_test.py:test_Conv2d_inconsistent_types_on_GPU_without_cudnn_xla": {
        "operations": [],
        "test_time": 0.0034498200002417434
    },
    "conv2d_test.py:test_Conv2d_inconsistent_types_xla": {
        "operations": [],
        "test_time": 0.0013956530001451029
    },
    "conv2d_test.py:test_Conv2d_large_workspace_cpu_float16": {
        "operations": [],
        "test_time": 0.0010616059998937999
    },
    "conv2d_test.py:test_Conv2d_large_workspace_cpu_float32": {
        "operations": [],
        "test_time": 0.0010771540000860114
    },
    "conv2d_test.py:test_Conv2d_large_workspace_cpu_float64": {
        "operations": [],
        "test_time": 0.0010102439996444446
    },
    "conv2d_test.py:test_Conv2d_large_workspace_xla_float16": {
        "operations": [
            0.08910658800004967,
            0.007685756000228139
        ],
        "test_time": 0.18458192500020232
    },
    "conv2d_test.py:test_Conv2d_large_workspace_xla_float32": {
        "operations": [
            0.020739828999921883,
            0.00793868199980352
        ],
        "test_time": 0.039083059999938996
    },
    "conv2d_test.py:test_Conv2d_large_workspace_xla_float64": {
        "operations": [
            0.00819102000014027,
            0.009223108000242064
        ],
        "test_time": 0.026271957000062685
    },
    "conv2d_test.py:test_Conv2d_missing_argument_cpu": {
        "operations": [],
        "test_time": 0.03178212100010569
    },
    "conv2d_test.py:test_Conv2d_missing_argument_xla": {
        "operations": [],
        "test_time": 0.0015476419998776692
    },
    "conv2d_test.py:test_Conv2d_module_same_padding_cpu": {
        "operations": [
            0.00017022199972416274,
            0.00022783200029152795,
            0.0002623320001475804
        ],
        "test_time": 0.04454062699960559
    },
    "conv2d_test.py:test_Conv2d_module_same_padding_xla": {
        "operations": [
            0.0035684530002981774,
            0.005336509999779082,
            0.00048090499967656797
        ],
        "test_time": 13.397666289999961
    },
    "conv2d_test.py:test_Conv2d_naive_groups_cpu_float32": {
        "operations": [
            0.00033078100022976287,
            0.0003216459999748622,
            0.00028077300021323026
        ],
        "test_time": 0.06648719600025288
    },
    "conv2d_test.py:test_Conv2d_naive_groups_xla_float32": {
        "operations": [
            0.015509820000261243,
            0.012904127000183507,
            0.00339700599988646
        ],
        "test_time": 15.817333362000227
    },
    "conv2d_test.py:test_Conv2d_size_1_kernel_cpu": {
        "operations": [],
        "test_time": 0.0014693419998366153
    },
    "conv2d_test.py:test_Conv2d_size_1_kernel_xla": {
        "operations": [
            0.016916463000143267,
            0.0026907539995590923
        ],
        "test_time": 11.512125005000144
    },
    "cuda_test.py:test_device_cpu": {
        "operations": [
            5.216999852564186e-06,
            5.5049999900802504e-06,
            3.7700001485063694e-06,
            3.1549998311675154e-06
        ],
        "test_time": 0.04423691400006646
    },
    "cuda_test.py:test_device_xla": {
        "operations": [
            5.979999968985794e-06,
            3.6110000110056717e-06,
            3.4450004022801295e-06,
            3.2180000744119752e-06
        ],
        "test_time": 0.02393627599985848
    },
    "data_ptr_test.py:test_to_cpu": {
        "operations": [
            1.1295000149402767e-05,
            2.936999862868106e-06,
            2.136000148311723e-06,
            1.942999915627297e-06,
            3.9881000247987686e-05,
            7.562000064353924e-06,
            6.53000006423099e-06,
            5.850999968970427e-06,
            4.8254999910568586e-05,
            7.417000233544968e-06,
            6.658000074821757e-06,
            6.573000064236112e-06,
            3.143399999316898e-05,
            8.79199978953693e-06,
            6.501999905594857e-06,
            6.390999715222279e-06
        ],
        "test_time": 0.03704698399997142
    },
    "data_ptr_test.py:test_to_xla": {
        "operations": [],
        "test_time": 0.02351734200010469
    },
    "diag_test.py:test_diag_cpu_bool": {
        "operations": [
            0.00011808199997176416,
            1.0519000170461368e-05
        ],
        "test_time": 0.0017077900001822854
    },
    "diag_test.py:test_diag_cpu_float32": {
        "operations": [
            2.4902999939513393e-05,
            7.255000127770472e-06
        ],
        "test_time": 0.001291114000196103
    },
    "diag_test.py:test_diag_xla_bool": {
        "operations": [
            1.5527999948972138e-05,
            6.103000032453565e-06
        ],
        "test_time": 0.0012622190001820854
    },
    "diag_test.py:test_diag_xla_float32": {
        "operations": [
            1.65940000442788e-05,
            6.1170003391453065e-06
        ],
        "test_time": 0.001414209999893501
    },
    "dropout3d_test.py:test_Dropout3d_cpu": {
        "operations": [
            7.21979999980249e-05,
            6.381000002875226e-05,
            8.493799987263628e-05,
            6.94780001140316e-05,
            5.431099998531863e-05,
            5.416099975263933e-05,
            6.431399970097118e-05,
            5.099600002722582e-05,
            0.00016295699970214628,
            0.00015156099971136427,
            5.367300036596134e-05,
            3.670700016300543e-05,
            0.0001046869997480826,
            4.7945999995135935e-05,
            7.650899988220772e-05,
            6.163499983813381e-05
        ],
        "test_time": 0.08099639800002478
    },
    "dropout3d_test.py:test_Dropout3d_xla": {
        "operations": [
            4.3760000153270084e-05,
            8.957600039138924e-05,
            0.00012883999988844153,
            8.467699990433175e-05,
            5.3917000059300335e-05,
            4.995200015400769e-05,
            8.085500030574622e-05,
            6.372499956341926e-05,
            0.021758445000159554,
            0.0009142529997916427,
            0.0006607559998883517,
            7.949700011522509e-05
        ],
        "test_time": 59.7251542920003
    },
    "dropout3d_test.py:test_invalid_dropout_p_cpu": {
        "operations": [],
        "test_time": 0.0013367239998842706
    },
    "dropout3d_test.py:test_invalid_dropout_p_xla": {
        "operations": [],
        "test_time": 0.0012189369999759947
    },
    "dropout_test.py:test_empty_dropout_cpu": {
        "operations": [
            4.1978000353992684e-05
        ],
        "test_time": 0.0010824159999174299
    },
    "dropout_test.py:test_empty_dropout_xla": {
        "operations": [
            2.6049000098282704e-05
        ],
        "test_time": 0.0024268539996228355
    },
    "dropout_test.py:test_invalid_dropout_p_cpu": {
        "operations": [],
        "test_time": 0.0009209139998347382
    },
    "dropout_test.py:test_invalid_dropout_p_xla": {
        "operations": [],
        "test_time": 0.0009885559998110693
    },
    "dropout_test.py:test_native_dropout_corner_case_cpu": {
        "operations": [
            1.0014000054070493e-05,
            2.766499983408721e-05,
            8.51400000101421e-06,
            5.518999842024641e-06
        ],
        "test_time": 0.0021663850002369145
    },
    "dropout_test.py:test_native_dropout_corner_case_xla": {
        "operations": [
            1.307499996983097e-05,
            0.00011289499980193796,
            3.4269000025233254e-05,
            3.081500017287908e-05
        ],
        "test_time": 0.2143246190003083
    },
    "fliplr_test.py:test_fliplr_cpu_complex128": {
        "operations": [
            8.054099998844322e-05,
            2.8743999791913666e-05,
            2.050299963229918e-05
        ],
        "test_time": 0.004048081000291859
    },
    "fliplr_test.py:test_fliplr_cpu_float64": {
        "operations": [
            1.9501000224408926e-05,
            1.6761000097176293e-05,
            2.0142000266787363e-05
        ],
        "test_time": 0.002799748000143154
    },
    "fliplr_test.py:test_fliplr_cpu_int64": {
        "operations": [
            1.594500008650357e-05,
            1.7860000298242085e-05,
            1.988300027733203e-05
        ],
        "test_time": 0.002485990999957721
    },
    "fliplr_test.py:test_fliplr_invalid_cpu_complex128": {
        "operations": [],
        "test_time": 0.007748804999664571
    },
    "fliplr_test.py:test_fliplr_invalid_cpu_float64": {
        "operations": [],
        "test_time": 0.007318836000195006
    },
    "fliplr_test.py:test_fliplr_invalid_cpu_int64": {
        "operations": [],
        "test_time": 0.0072065150002345035
    },
    "fliplr_test.py:test_fliplr_invalid_xla_complex128": {
        "operations": [],
        "test_time": 0.009208715000113443
    },
    "fliplr_test.py:test_fliplr_invalid_xla_float64": {
        "operations": [],
        "test_time": 0.008754674000101659
    },
    "fliplr_test.py:test_fliplr_invalid_xla_int64": {
        "operations": [],
        "test_time": 0.00888027900009547
    },
    "fliplr_test.py:test_fliplr_xla_complex128": {
        "operations": [
            3.7011000131315086e-05,
            3.5647999993670965e-05,
            5.590699993263115e-05
        ],
        "test_time": 12.759719968999889
    },
    "fliplr_test.py:test_fliplr_xla_float64": {
        "operations": [
            2.9557000289059943e-05,
            3.503700008877786e-05,
            3.323199962323997e-05
        ],
        "test_time": 12.745946905999972
    },
    "fliplr_test.py:test_fliplr_xla_int64": {
        "operations": [
            2.6129000161745353e-05,
            3.348599966557231e-05,
            3.360599976076628e-05
        ],
        "test_time": 19.402224746999764
    },
    "fliplr_test.py:test_flipud_cpu_complex128": {
        "operations": [
            8.849100004226784e-05,
            1.3766999927611323e-05,
            1.569699998071883e-05,
            2.0468999991862802e-05
        ],
        "test_time": 0.0031645469998693443
    },
    "fliplr_test.py:test_flipud_cpu_float64": {
        "operations": [
            1.646800001253723e-05,
            1.6231999779847683e-05,
            1.5348000033554854e-05,
            1.896699995995732e-05
        ],
        "test_time": 0.0032131799998751376
    },
    "fliplr_test.py:test_flipud_cpu_int64": {
        "operations": [
            1.5015999906609068e-05,
            1.3736000255448744e-05,
            1.3135000244801631e-05,
            2.6058000003104098e-05
        ],
        "test_time": 0.0024368399999730173
    },
    "fliplr_test.py:test_flipud_xla_complex128": {
        "operations": [
            4.1851000332826516e-05,
            3.647999983513728e-05,
            3.379299960215576e-05,
            3.502299978208612e-05
        ],
        "test_time": 18.29396999699975
    },
    "fliplr_test.py:test_flipud_xla_float64": {
        "operations": [
            3.2872999781830003e-05,
            3.6641999940911774e-05,
            3.3654999697319e-05,
            3.391899963389733e-05
        ],
        "test_time": 17.58482437099974
    },
    "fliplr_test.py:test_flipud_xla_int64": {
        "operations": [
            2.5271000140492106e-05,
            3.3012000130838715e-05,
            3.165599991916679e-05,
            3.071200035265065e-05
        ],
        "test_time": 27.695310141999926
    },
    "group_norm_test.py:test_group_norm_cpu": {
        "operations": [
            0.0007526459999098734,
            0.0002192310003010789,
            3.1024000236357097e-05,
            3.512699959173915e-05,
            2.3502000203734497e-05,
            2.406999965387513e-05,
            2.0558999949571444e-05,
            2.1980999918014277e-05,
            1.918299994940753e-05,
            2.1973000002617482e-05,
            1.8870000076276483e-05,
            2.0444999790925067e-05,
            1.9148999854223803e-05,
            2.087700022457284e-05,
            1.7714000023261178e-05,
            1.9877000340784434e-05,
            2.376100019318983e-05,
            2.364900001339265e-05,
            1.947700002347119e-05,
            2.071900007649674e-05,
            2.0417000087036286e-05,
            2.127700008713873e-05,
            1.8779000129143242e-05,
            1.9331999737914884e-05,
            1.957099993887823e-05,
            1.9875999896612484e-05,
            1.7901999854075257e-05,
            1.9222999981138855e-05,
            1.9272999907116173e-05,
            2.067600007649162e-05,
            1.8709999949351186e-05,
            1.961999987543095e-05,
            2.2774000171921216e-05,
            2.1411999568954343e-05,
            1.8617000023368746e-05,
            2.007100010814611e-05,
            2.0621000203391304e-05,
            2.143400024579023e-05,
            1.794700028767693e-05,
            2.0923999727529008e-05,
            2.0862999917881098e-05,
            2.211700029874919e-05,
            1.8709000414673937e-05,
            2.0174000383121893e-05,
            1.789699990695226e-05,
            2.2632999844063306e-05,
            1.857899997048662e-05,
            1.9642000097519485e-05,
            1.8715000351221533e-05,
            2.0606999896699563e-05,
            1.7724000372254523e-05,
            1.9468000118649798e-05,
            1.836499995988561e-05,
            1.988299982258468e-05,
            1.8587000340630766e-05,
            1.9814000097539974e-05,
            1.832999987527728e-05,
            1.9784000414801994e-05,
            1.870300002337899e-05,
            2.019300018218928e-05,
            1.8665999959921464e-05,
            2.0847000087087508e-05,
            1.713599976937985e-05,
            1.9349000012880424e-05,
            0.0001703549996818765,
            3.409000009924057e-05,
            2.4249000034615165e-05,
            2.447499991831137e-05,
            2.2539999918080866e-05,
            2.478600026734057e-05,
            2.1444999674713472e-05,
            2.3517000045103487e-05,
            2.198899983341107e-05,
            2.4825000309647294e-05,
            2.0427999970706878e-05,
            2.247100019303616e-05,
            2.118299971698434e-05,
            2.39589999182499e-05,
            2.0745000256283674e-05,
            2.316699965376756e-05,
            2.129199992850772e-05,
            2.3131000034481985e-05,
            1.9792999864876037e-05,
            2.2366999928635778e-05,
            2.394600005573011e-05,
            2.4820999897201546e-05,
            2.1367000044847373e-05,
            2.2987999727774877e-05,
            2.175700001316727e-05,
            2.4049999865383143e-05,
            2.8944999939994887e-05,
            2.337100022486993e-05,
            2.123300009770901e-05,
            2.3141999918152578e-05,
            2.041000016106409e-05,
            2.2308000097837066e-05,
            2.2406000425689854e-05,
            2.4496999685652554e-05,
            2.090900034090737e-05,
            2.3257000066223554e-05,
            2.0655000298575033e-05,
            2.2847999844088918e-05,
            2.113999971697922e-05,
            2.3751999833621085e-05,
            2.1482999727595598e-05,
            2.3565999981656205e-05,
            2.270599998155376e-05,
            2.4880999717424856e-05,
            2.045499968517106e-05,
            2.5694999749248382e-05,
            2.1116999960213434e-05,
            2.3384000087389722e-05,
            2.0568999843817437e-05,
            2.351400007682969e-05,
            2.6002999675256433e-05,
            2.304599956914899e-05,
            2.1328999991965247e-05,
            2.3781999971106416e-05,
            2.0081000002392102e-05,
            2.255199979117606e-05,
            2.0708999727503397e-05,
            2.351100010855589e-05,
            2.0603999928425765e-05,
            2.3008999960438814e-05,
            2.0961999780411134e-05,
            2.3675000193179585e-05,
            2.2773000182496617e-05,
            2.4633999601064716e-05,
            2.8452000151446555e-05,
            3.050900022572023e-05,
            2.484800006641308e-05,
            2.796199987642467e-05,
            2.517100028853747e-05,
            2.7307999971526442e-05,
            3.2206000014411984e-05,
            2.7552000119612785e-05,
            2.3906000023998786e-05,
            2.924899990830454e-05,
            2.375999974901788e-05,
            2.60560000242549e-05,
            2.5394999738637125e-05,
            2.8839000151492655e-05,
            2.8681999992841156e-05,
            2.994800024680444e-05,
            2.5766999897314236e-05,
            2.86119998236245e-05,
            2.4754999685683288e-05,
            2.7335000140737975e-05,
            2.4139999823091784e-05,
            3.568900001482689e-05,
            2.6234999950247584e-05,
            2.8115000077377772e-05,
            2.482699983374914e-05,
            2.746900008787634e-05,
            2.3779999992257217e-05,
            2.6727000204118667e-05,
            2.3874999897088856e-05,
            2.7083000077254837e-05,
            2.326599997104495e-05,
            3.212199999325094e-05,
            2.6759999855130445e-05,
            2.8529999781312654e-05,
            2.4640999981784262e-05,
            2.6904000151262153e-05,
            2.4647999907756457e-05,
            2.7139000394527102e-05,
            2.2898000224813586e-05,
            2.6929000341624487e-05,
            2.386899996054126e-05,
            2.6657000034902012e-05,
            2.3358999897027388e-05,
            2.614799996081274e-05,
            2.4025999664445408e-05,
            2.714199990805355e-05,
            2.326399999219575e-05,
            2.6456000341568142e-05,
            2.3842999780754326e-05,
            4.457700015336741e-05,
            2.5159999950119527e-05,
            2.7362000309949508e-05,
            2.447299993946217e-05,
            2.7477999992697733e-05,
            2.4042999939410947e-05,
            2.6261000130034517e-05,
            2.376100019318983e-05,
            2.6808999791683163e-05,
            2.2462999822892016e-05,
            2.5550999907864025e-05,
            2.347899999222136e-05,
            2.6775999685924035e-05,
            2.345100028833258e-05,
            2.64420000348764e-05,
            3.751599979295861e-05,
            5.332999990059761e-05,
            3.398400031073834e-05,
            2.6234999950247584e-05,
            2.8255000415811082e-05,
            2.495500029908726e-05,
            2.7608999971562298e-05,
            2.9658999665116426e-05,
            3.6357999761094106e-05,
            2.6576999971439363e-05,
            3.5849000141752185e-05,
            2.7360999865777558e-05,
            2.7610999950411497e-05,
            2.4031000066315755e-05,
            2.696999990803306e-05,
            2.459899997120374e-05,
            3.356600018378231e-05,
            2.565100021456601e-05,
            3.733999983523972e-05,
            2.900000026784255e-05,
            2.6359999992564553e-05,
            2.5152000034722732e-05,
            2.6384999728179537e-05,
            3.307899987703422e-05,
            3.244099980292958e-05,
            2.4512999971193494e-05,
            3.943899992009392e-05,
            2.932899997176719e-05,
            2.6155999876209535e-05,
            2.4811000002955552e-05,
            2.7179999960935675e-05,
            2.497000014045625e-05,
            3.4701999993558275e-05,
            2.5147000087599736e-05,
            3.6922000163031043e-05,
            2.5101000119320815e-05,
            2.917399979196489e-05,
            2.4943999960669316e-05,
            3.0639000215160195e-05,
            2.5192999601131305e-05,
            3.295299984529265e-05,
            2.5012000151036773e-05,
            3.7834000067960005e-05,
            2.624000035211793e-05,
            2.9061000077490462e-05,
            2.7362000309949508e-05,
            3.079899988733814e-05,
            2.563699990787427e-05,
            5.0519000069471076e-05,
            3.6980000004405156e-05,
            3.5712000226340024e-05,
            3.663000006781658e-05,
            2.8601999929378508e-05,
            2.6512000204093056e-05,
            2.81480001831369e-05,
            2.5210999865521444e-05,
            3.247199992983951e-05,
            2.5750000077096047e-05,
            3.409000009924057e-05,
            2.6833999982045498e-05,
            3.424599981372012e-05,
            2.7443999897514004e-05,
            2.8477999876486138e-05,
            2.588600000308361e-05,
            4.585799979395233e-05,
            3.911100020559388e-05,
            4.565900007946766e-05,
            3.708499980348279e-05,
            3.456500007814611e-05,
            7.686000026296824e-05,
            3.519100027915556e-05,
            3.92379997720127e-05,
            4.215199987811502e-05,
            3.824299983534729e-05,
            4.506899995249114e-05,
            3.756400019483408e-05,
            3.45110001944704e-05,
            4.118000015296275e-05,
            3.3767999866540777e-05,
            3.8359999962267466e-05,
            4.2981999740732135e-05,
            3.853699990941095e-05,
            4.61380000160716e-05,
            3.80000001314329e-05,
            3.344300012031454e-05,
            4.035500023746863e-05,
            3.351800023665419e-05,
            4.0721000004850794e-05,
            4.351500001575914e-05,
            3.807900020547095e-05,
            4.379800020615221e-05,
            3.6110999644733965e-05,
            3.294599991932046e-05,
            4.90869997520349e-05,
            3.538999999364023e-05,
            3.86899996556167e-05,
            4.4953999804420164e-05,
            4.771700014316593e-05,
            4.4487000195658766e-05,
            3.6096999792789575e-05,
            3.289000005679554e-05,
            5.0086000101146055e-05,
            3.368099987710593e-05,
            3.712999978233711e-05,
            4.3864999952347716e-05,
            4.811400003745803e-05,
            4.5095000132278074e-05,
            3.710200007844833e-05,
            3.304900019429624e-05,
            5.02439997944748e-05,
            3.4826000046450645e-05,
            3.909699989890214e-05,
            4.318899982536095e-05,
            3.81550003112352e-05,
            4.472499995245016e-05,
            3.606900008890079e-05,
            3.407299982427503e-05,
            5.021900005885982e-05,
            3.3644999803073006e-05,
            4.468199995244504e-05,
            4.382499992061639e-05,
            3.716999981406843e-05,
            4.4596999941859394e-05,
            3.5677000141731696e-05,
            3.347299980305252e-05,
            5.0906999604194425e-05,
            3.3661000088613946e-05,
            3.7960000099701574e-05,
            0.00015283399989129975,
            0.00012439200008884654,
            0.00014699900020787027,
            8.862000004228321e-05,
            0.00010521000012886361,
            0.00013132999993104022,
            0.00010055099983219407,
            0.000123130000247329,
            0.00015005500017650775,
            0.00011122299974886118,
            0.00014296100016508717,
            8.80829998095578e-05,
            0.00010082099970531999,
            0.00012387400010993588,
            0.00010831600002347841,
            0.00012152299996159854,
            0.0001443290002498543,
            9.713100007502362e-05,
            0.00013876100001652958,
            9.240000008503557e-05,
            9.916499993778416e-05,
            0.00012344200013103546,
            0.00010437899982207455,
            0.00012187199990876252,
            0.0001408039997841115,
            9.442000009585172e-05,
            0.00013632800028062775,
            8.776000004218076e-05,
            0.0001031349997901998,
            0.00013248599998405552,
            0.00010060300019176793,
            0.00012684000012086472,
            0.00013924899985795491,
            9.175500008495874e-05,
            0.00013881100039725425,
            0.00011262099997111363,
            0.00011293799980194308,
            0.00012294999987716437,
            9.962800004359451e-05,
            0.00012191499990876764,
            0.00014614700012316462,
            8.652299993627821e-05,
            0.00013551700021707802,
            8.815599994704826e-05,
            0.00010092200000144658,
            0.00012923900021633017,
            0.00010467900028743315,
            0.0001208979997500137,
            0.00013958700037619565,
            8.794900031716679e-05,
            0.00014122299990049214,
            8.818800006338279e-05,
            0.00010336200011806795,
            0.00012421600013112766,
            0.00010608000002321205,
            0.00013712899999518413,
            0.00013984799988975283,
            8.408199983023223e-05,
            0.00014137900006971904,
            8.592999984102789e-05,
            0.00010077399974761647,
            0.00012303699986659922,
            9.942799988493789e-05,
            0.0001216579998981615,
            5.154200016477262e-05,
            2.943699973911862e-05,
            4.545299998426344e-05,
            3.653599969766219e-05,
            3.4531000437709736e-05,
            2.7766000130213797e-05,
            3.392300004634308e-05,
            2.6600999717629747e-05,
            4.051099995194818e-05,
            2.6286000320396852e-05,
            4.167499992036028e-05,
            2.700000004551839e-05,
            3.356300021550851e-05,
            2.6634999812813476e-05,
            3.3537000035721576e-05,
            2.6469000204087934e-05,
            3.862999983539339e-05,
            2.638300020407769e-05,
            4.0251999962492846e-05,
            2.649099997142912e-05,
            3.136999976049992e-05,
            2.6448999960848596e-05,
            4.8984999921231065e-05,
            3.078500003539375e-05,
            3.788399999393732e-05,
            2.6236999929096783e-05,
            3.982199996244162e-05,
            2.6032000278064515e-05,
            3.346399989823112e-05,
            2.6801999865710968e-05,
            3.328499997223844e-05,
            2.6403999981994275e-05,
            4.100399974049651e-05,
            2.5383999854966532e-05,
            4.88539999423665e-05,
            2.7241000225330936e-05,
            3.366600003573694e-05,
            2.577299983386183e-05,
            3.8485000004584435e-05,
            2.555799983383622e-05,
            4.250900019542314e-05,
            2.6977000288752606e-05,
            4.6645000111311674e-05,
            2.641300034156302e-05,
            4.1136999698210275e-05,
            2.7053999929194106e-05,
            3.9461000142182456e-05,
            2.56650000665104e-05,
            3.694399993037223e-05,
            2.4807000045257155e-05,
            3.853499993056175e-05,
            2.593199997136253e-05,
            3.2035000003816094e-05,
            2.695400007723947e-05,
            3.2294999982696027e-05,
            2.6019999950221973e-05,
            3.798700026891311e-05,
            2.8480000310082687e-05,
            4.4178999814903364e-05,
            2.6634999812813476e-05,
            3.0516000151692424e-05,
            3.0945999696996296e-05,
            3.2422999993286794e-05,
            2.521699980206904e-05,
            6.835599970145267e-05,
            3.517200002534082e-05,
            6.139200013421942e-05,
            4.346000014265883e-05,
            5.435799994302215e-05,
            5.3138999646762386e-05,
            4.362299978311057e-05,
            5.116900001667091e-05,
            5.736799994338071e-05,
            3.549900020516361e-05,
            5.8692000038718106e-05,
            3.4781000067596324e-05,
            4.3929000185016776e-05,
            5.2208999932190636e-05,
            4.258600029061199e-05,
            4.9667999974190025e-05,
            5.6571000186522724e-05,
            5.096599988974049e-05,
            5.803200019727228e-05,
            3.389999983482994e-05,
            5.4865000038262224e-05,
            5.220799994276604e-05,
            4.3169000036868965e-05,
            5.1219999932072824e-05,
            5.6444000165356556e-05,
            3.519400024742936e-05,
            5.826400001751608e-05,
            3.399400020498433e-05,
            6.0632999975496205e-05,
            5.276199999570963e-05,
            4.272900014257175e-05,
            5.814900032419246e-05,
            6.847799977549585e-05,
            3.768600026887725e-05,
            5.981599997539888e-05,
            3.405899997233064e-05,
            4.4363000142766396e-05,
            5.3513000239036046e-05,
            4.4410000100469915e-05,
            5.1060999794572126e-05,
            6.83949997437594e-05,
            3.41969998771674e-05,
            6.300899985944852e-05,
            3.4966000384883955e-05,
            4.38140000369458e-05,
            5.170600024939631e-05,
            4.445799959285068e-05,
            7.23570001355256e-05,
            5.854900018675835e-05,
            3.4716999834927265e-05,
            6.11750001553446e-05,
            3.427399997235625e-05,
            4.396299982545315e-05,
            5.220599996391684e-05,
            4.372200010038796e-05,
            5.142500003785244e-05,
            6.814300013502361e-05,
            3.531700031089713e-05,
            5.936999968980672e-05,
            3.386799971849541e-05,
            5.8400999932928244e-05,
            5.239399979473092e-05,
            5.1979000090796035e-05,
            5.051800008004648e-05,
            0.00024935300007200567,
            0.0001180259996544919,
            0.00024246599969046656,
            0.00010533500017118058,
            0.00016465199996673618,
            0.00024143999962689122,
            0.00016738899967094767,
            0.00021490800008905353,
            0.00023172700002760394,
            9.706399987408076e-05,
            0.0002572129997133743,
            0.00010962399983327487,
            0.00016457400033687009,
            0.00023346400030277437,
            0.00016204800022023846,
            0.00021997199974066461,
            0.00022625100018558442,
            9.674400007497752e-05,
            0.00022307000017462997,
            0.0001040689999172173,
            0.00017075899995688815,
            0.00022887300019647228,
            0.00016113699984998675,
            0.0002147289997083135,
            0.0002625300003273878,
            9.603099988453323e-05,
            0.00023393199990096036,
            9.813799988478422e-05,
            0.00016969900025287643,
            0.00023065699997459888,
            0.00016163600002983003,
            0.0002198980000684969,
            0.0002223330002379953,
            0.00010516600013943389,
            0.0002245549999315699,
            0.00010043799966297229,
            0.00017021199982991675,
            0.0002312490000804246,
            0.00016484799971294706,
            0.00021446299979288597,
            0.00022732700017513707,
            9.579199968356988e-05,
            0.00023422999993272242,
            9.617499972591759e-05,
            0.00019992099987575784,
            0.00023875499982750625,
            0.00016158300013557891,
            0.00023296699964703294,
            0.00022909499966772273,
            9.783999985302216e-05,
            0.00023801199995432398,
            9.41380003496306e-05,
            0.0001704350002000865,
            0.000244311999722413,
            0.00017285100011577015,
            0.0002199030000156199,
            0.0002486969997335109,
            0.00010312199992768001,
            0.00024937799980762065,
            0.00011116500036223442,
            0.00016475800020998577,
            0.00023436700030288193,
            0.00016112299999804236,
            0.00022275299988905317,
            7.581599993500276e-05,
            4.611200029103202e-05,
            4.736199980470701e-05,
            3.976200014221831e-05,
            4.160599974056822e-05,
            4.026599981443724e-05,
            3.53649998032779e-05,
            3.5631000173452776e-05,
            4.091599976163707e-05,
            4.0112000078806886e-05,
            4.0101000195136294e-05,
            4.0861000343284104e-05,
            3.843100012090872e-05,
            3.9072999697964406e-05,
            3.840400040644454e-05,
            3.4812000194506254e-05,
            4.108300026928191e-05,
            3.659799995148205e-05,
            4.2065999878104776e-05,
            3.961199990953901e-05,
            3.563900008884957e-05,
            5.483999984789989e-05,
            3.7183000131335575e-05,
            3.882100008922862e-05,
            4.018200024802354e-05,
            3.906800020558876e-05,
            4.091399978278787e-05,
            3.671300009955303e-05,
            3.6239000110072084e-05,
            3.455400019447552e-05,
            3.7340000289987074e-05,
            3.481600015220465e-05,
            3.957899980377988e-05,
            3.922100040654186e-05,
            4.274200000509154e-05,
            3.68320002053224e-05,
            3.892699987773085e-05,
            3.553300030034734e-05,
            3.595099997255602e-05,
            4.413500028022099e-05,
            4.601400041792658e-05,
            4.11729997722432e-05,
            3.963100016335375e-05,
            4.539300016404013e-05,
            3.3459999940532725e-05,
            3.8873999983479735e-05,
            3.600900026867748e-05,
            3.417000016270322e-05,
            4.012099998362828e-05,
            3.8038000184315024e-05,
            4.1213999793399125e-05,
            3.8236999898799695e-05,
            3.6002999877382535e-05,
            3.719199958140962e-05,
            3.557899981387891e-05,
            3.539199997248943e-05,
            4.195300016363035e-05,
            3.892299992003245e-05,
            3.8766000216128305e-05,
            3.8519000099768164e-05,
            3.445899983489653e-05,
            3.675500011013355e-05,
            3.7091000194777735e-05,
            3.755199986699154e-05,
            4.9126000249088975e-05,
            5.720000035580597e-05,
            4.5187000068835914e-05,
            5.638899983750889e-05,
            4.586999966704752e-05,
            4.5587999920826405e-05,
            4.3755999740824336e-05,
            4.370599981484702e-05,
            4.761499985761475e-05,
            5.359999977372354e-05,
            4.4257000354264164e-05,
            5.5157999668153934e-05,
            4.3414999709057156e-05,
            4.3480999920575414e-05,
            3.940999977203319e-05,
            4.03280000682571e-05,
            4.8145999699045205e-05,
            5.8309999985795e-05,
            4.522700010056724e-05,
            7.177199995567207e-05,
            4.302499974073726e-05,
            4.127000011067139e-05,
            4.042800037495908e-05,
            4.0892000015446683e-05,
            5.67580000279122e-05,
            5.5872999837447423e-05,
            4.702700016423478e-05,
            5.731700002797879e-05,
            3.8020999909349484e-05,
            4.252700000506593e-05,
            5.029299973102752e-05,
            4.088400010004989e-05,
            5.0053999984811526e-05,
            5.843300004926277e-05,
            4.49799999842071e-05,
            5.733600028179353e-05,
            4.212100020595244e-05,
            4.2319000385759864e-05,
            3.942099965570378e-05,
            3.8362999930541264e-05,
            4.759600005854736e-05,
            5.8396999975229846e-05,
            5.193700008021551e-05,
            6.880299997646944e-05,
            5.153300025995122e-05,
            5.5212000006577e-05,
            4.0532999719289364e-05,
            4.1182999666489195e-05,
            4.6162000217009336e-05,
            5.716900022889604e-05,
            4.562999993140693e-05,
            5.206900004850468e-05,
            3.982799989898922e-05,
            4.3894999635085696e-05,
            3.789099991990952e-05,
            4.173600018475554e-05,
            5.11070002175984e-05,
            5.86220003242488e-05,
            6.521299974338035e-05,
            6.534700014526607e-05,
            4.973599970981013e-05,
            4.302199977246346e-05,
            4.633700018530362e-05,
            4.215799981466262e-05,
            5.2242000037949765e-05,
            8.479600001010112e-05,
            5.221599985816283e-05,
            7.433999962813687e-05,
            4.788800015376182e-05,
            4.6422999730566517e-05,
            4.579999995257822e-05,
            4.5823000164091354e-05,
            5.433100022855797e-05,
            7.588599964947207e-05,
            5.361700004868908e-05,
            8.078800010480336e-05,
            4.435899973032065e-05,
            4.506600043896469e-05,
            4.260100013198098e-05,
            5.731700002797879e-05,
            5.3622999985236675e-05,
            8.080399993559695e-05,
            5.124700010128436e-05,
            8.1888999829971e-05,
            4.5031000354356365e-05,
            4.919200000585988e-05,
            4.3712999740819214e-05,
            4.3419000121502904e-05,
            5.490500006999355e-05,
            7.877300004111021e-05,
            5.5994999911490595e-05,
            7.457700030499836e-05,
            4.21019999521377e-05,
            4.457600016394281e-05,
            4.254000032233307e-05,
            5.131399984747986e-05,
            7.496300031561987e-05,
            7.594599992444273e-05,
            5.2038999911019346e-05,
            8.303200002046651e-05,
            4.386000000522472e-05,
            4.463499999474152e-05,
            4.285199975129217e-05,
            6.069800019758986e-05,
            5.441000030259602e-05,
            7.742199977656128e-05,
            6.364399996527936e-05,
            7.613100024173036e-05,
            4.460600030142814e-05,
            4.834499986827723e-05,
            4.7449999783566454e-05,
            4.295500002626795e-05,
            5.717699968954548e-05,
            0.00010059399983219919,
            6.020099999659578e-05,
            7.781600015732693e-05,
            4.242800014253589e-05,
            4.567099995256285e-05,
            5.710799996450078e-05,
            4.795499989995733e-05,
            5.501199984792038e-05,
            8.101899993562256e-05,
            5.215600003793952e-05,
            0.00012698500040642102,
            4.495799976211856e-05,
            4.7296000047936104e-05,
            4.291200002626283e-05,
            5.935400031376048e-05,
            5.2333999974507606e-05,
            4.2609000047377776e-05,
            5.298299993228284e-05,
            4.558400041787536e-05,
            4.6645000111311674e-05,
            4.361399987828918e-05,
            4.554800034384243e-05,
            4.1838000015559373e-05,
            4.8923999656835804e-05,
            4.1107000015472295e-05,
            5.1127000006090384e-05,
            4.4795999656344065e-05,
            4.622899996320484e-05,
            4.294600012144656e-05,
            4.452899975149194e-05,
            4.3616999846562976e-05,
            5.2075000439799624e-05,
            4.444600017450284e-05,
            5.341499991118326e-05,
            4.398100008984329e-05,
            5.022200002713362e-05,
            4.749000027004513e-05,
            4.31179996667197e-05,
            4.224199983582366e-05,
            4.99400002809125e-05,
            4.248400000506081e-05,
            4.912699978376622e-05,
            6.167699984871433e-05,
            4.709100039690384e-05,
            4.24949998887314e-05,
            4.970899999534595e-05,
            4.289599974072189e-05,
            5.0597000154084526e-05,
            4.3602999994618585e-05,
            5.62149998586392e-05,
            4.5365000005404e-05,
            4.451299992069835e-05,
            4.074700018463773e-05,
            4.736699975183001e-05,
            4.301999979361426e-05,
            5.1309999889781466e-05,
            4.308500001570792e-05,
            5.341299993233406e-05,
            5.245199963610503e-05,
            4.8069000058603706e-05,
            4.00149997403787e-05,
            4.959899979439797e-05,
            4.225000020596781e-05,
            5.086700002721045e-05,
            4.4702999730361626e-05,
            5.415199984781793e-05,
            4.3279000237816945e-05,
            4.2470000153116416e-05,
            4.345500019553583e-05,
            4.170500005784561e-05,
            5.468700010169414e-05,
            5.0501999794505537e-05,
            4.241999977239175e-05,
            5.0409999857947696e-05,
            4.2950000079144957e-05,
            4.3914999878325034e-05,
            4.1197999962605536e-05,
            4.511599991019466e-05,
            4.8256999889417784e-05,
            8.006200005183928e-05,
            7.838400006221491e-05,
            9.928500003297813e-05,
            0.00010757600011856994,
            7.690199981880141e-05,
            5.613899975287495e-05,
            7.049300029393635e-05,
            5.654100004903739e-05,
            8.084999990387587e-05,
            9.860099999059457e-05,
            8.095700013655005e-05,
            9.748900038175634e-05,
            7.439599994540913e-05,
            5.4536999869014835e-05,
            7.314100002986379e-05,
            6.276000021898653e-05,
            7.394999965981697e-05,
            9.211500037054066e-05,
            8.016700030566426e-05,
            9.313999998994404e-05,
            5.406399986895849e-05,
            6.535300008181366e-05,
            6.84720002936956e-05,
            5.537900005947449e-05,
            7.613500019942876e-05,
            0.00010337699995943694,
            8.717499986232724e-05,
            8.195500004148926e-05,
            6.362800013448577e-05,
            6.966799992369488e-05,
            6.390899989128229e-05,
            5.072999965705094e-05,
            8.332099969265983e-05,
            9.805799982132157e-05,
            8.366400015802355e-05,
            9.780100026546279e-05,
            5.179600020710495e-05,
            7.140000025174231e-05,
            5.915099973208271e-05,
            6.514400001833565e-05,
            8.810000008452334e-05,
            0.00010029200029748608,
            8.024799990380416e-05,
            9.464799995839712e-05,
            4.9110999952972634e-05,
            5.786200017610099e-05,
            6.016299994371366e-05,
            5.096299992146669e-05,
            7.524200009356719e-05,
            0.00010586100006548804,
            8.236299981945194e-05,
            9.846100010690861e-05,
            5.4631999773846474e-05,
            7.066800026223063e-05,
            6.857800008219783e-05,
            4.9712999953044346e-05,
            9.24430000850407e-05,
            9.517100033917814e-05,
            9.15729997359449e-05,
            8.405400012634345e-05,
            5.8972000260837376e-05,
            6.647500003964524e-05,
            7.232300004034187e-05,
            4.9249000312556745e-05,
            0.00028310000016062986,
            0.0002406870003142103,
            0.00021818300001541502,
            0.00012173100003565196,
            0.0001569400001244503,
            0.00016923300017879228,
            0.00016407299972343026,
            0.00016228000004048226,
            0.00021663300003638142,
            0.00013140900000507827,
            0.00024066900004982017,
            0.0001458580004509713,
            0.00016750199984016945,
            0.000150379999922734,
            0.00014612999984819908,
            0.0001505879999967874,
            0.00023377499974230886,
            0.00016595399983998504,
            0.00019858599989674985,
            0.00014396999995369697,
            0.00016721100018912693,
            0.00015920699979687924,
            0.0001556239999445097,
            0.00013791799983664532,
            0.00020087000029889168,
            0.00011653799992927816,
            0.00022066900010031532,
            0.00013356199997360818,
            0.00014932899966879631,
            0.00016296099965984467,
            0.0001552439998704358,
            0.0001422899999852234,
            0.000223503000142955,
            0.00013550699986808468,
            0.00025093199974435265,
            0.00012203799997223541,
            0.00016452699992441921,
            0.0001543930002299021,
            0.000148282999816729,
            0.0001459439999962342,
            0.00022772500005885377,
            0.00013991499963594833,
            0.00023113699990062742,
            0.00016052999990279204,
            0.00016798899969217018,
            0.0002013909997913288,
            0.00015635599993402138,
            0.00014208499987944379,
            0.00021924800012129708,
            0.00012033199982397491,
            0.0002213830002801842,
            0.00011217900009796722,
            0.00015786399990247446,
            0.0001478919998589845,
            0.00014715199995407602,
            0.00014916800000719377,
            0.00023464600008082925,
            0.00011467700005596271,
            0.00023049699984767358,
            0.00011814500021500862,
            0.00016604800021013943,
            0.00015083900007084594,
            0.0001557999999022286,
            0.00014930299994375673,
            7.642200034752022e-05,
            6.587699999727192e-05,
            6.83979997120332e-05,
            4.7559999984514434e-05,
            5.286600026011001e-05,
            5.4396999985328875e-05,
            5.066500034445198e-05,
            4.3787999857158866e-05,
            5.8954999985871837e-05,
            6.087700012358255e-05,
            7.4677000156953e-05,
            5.6647999826964224e-05,
            5.28820000909036e-05,
            4.8957000217342284e-05,
            5.0273000397282885e-05,
            4.3715000174415763e-05,
            5.9175999922445044e-05,
            5.244599969955743e-05,
            5.7919000028050505e-05,
            4.6256000132416375e-05,
            4.8737999804870924e-05,
            4.2499999835854396e-05,
            7.07930003045476e-05,
            4.3882000227313256e-05,
            6.459499991251505e-05,
            4.588899992086226e-05,
            5.9342999975342536e-05,
            4.744800025946461e-05,
            5.4336000175680965e-05,
            4.568499980450724e-05,
            5.200600026000757e-05,
            5.0209000164613826e-05,
            6.525399976453627e-05,
            4.8442000206705416e-05,
            9.366500034957426e-05,
            5.845400028192671e-05,
            7.907300005172146e-05,
            4.527100008999696e-05,
            6.483699962700484e-05,
            4.4423999952414306e-05,
            6.611700018765987e-05,
            4.427700014275615e-05,
            6.529000029331655e-05,
            4.798400004801806e-05,
            5.317999966791831e-05,
            4.312600003686384e-05,
            5.710499999622698e-05,
            4.741100019600708e-05,
            5.627799964713631e-05,
            4.4332000015856465e-05,
            6.470700009231223e-05,
            4.480300003706361e-05,
            5.04039999214001e-05,
            4.1555000279913656e-05,
            5.761400007031625e-05,
            4.542099986792891e-05,
            5.7373999879928306e-05,
            6.204000010257005e-05,
            6.0415000007196795e-05,
            4.5417999899655115e-05,
            5.0489000386733096e-05,
            4.1308999698230764e-05,
            4.6549999751732685e-05,
            4.5725999825663166e-05,
            0.00011159899986523669,
            8.729399996809661e-05,
            0.00012522299994088826,
            7.974300024216063e-05,
            7.492000031561474e-05,
            0.00010507300021345145,
            7.989599998836638e-05,
            7.4138999934803e-05,
            0.00011547000030986965,
            0.00010055799975816626,
            0.00012655999989874545,
            8.199500007322058e-05,
            7.659099992451956e-05,
            0.00010623400021358975,
            8.64650000949041e-05,
            7.046299970170367e-05,
            0.00011690100018313387,
            0.00010143200006496045,
            0.00012666200018429663,
            7.865899988246383e-05,
            8.256899991465616e-05,
            7.497300020986586e-05,
            8.377200038012234e-05,
            6.88560003254679e-05,
            0.00011302199982310412,
            8.378600023206673e-05,
            0.0001312160002271412,
            0.00010200799988524523,
            8.410200007347157e-05,
            9.628399993744097e-05,
            0.00010060099975817138,
            6.983299999774317e-05,
            0.00012869500005763257,
            8.884499993655481e-05,
            0.00015376100009234506,
            7.90159997450246e-05,
            8.47649998831912e-05,
            7.582000034744851e-05,
            7.952600026328582e-05,
            7.081200010361499e-05,
            0.00013460000036502606,
            9.268999974665348e-05,
            0.00012039499961247202,
            8.450399991488666e-05,
            6.17929999862099e-05,
            9.08920001165825e-05,
            7.93359999988752e-05,
            6.990700012465823e-05,
            0.00011345499979142915,
            7.963000007293886e-05,
            0.00012565800034280983,
            8.351699989361805e-05,
            8.722299980945536e-05,
            7.364900011452846e-05,
            0.00010337100002288935,
            7.169399987105862e-05,
            0.00011758500022551743,
            8.408799976677983e-05,
            0.00011765099998228834,
            8.277799997813418e-05,
            9.395300003234297e-05,
            7.781100021020393e-05,
            0.0005590960004155932,
            7.432599977619248e-05,
            0.00030041500031074975,
            0.00033993199986070977,
            0.0003146470003230206,
            0.00016984600006253459,
            0.0002262789998894732,
            0.00026088100003107684,
            0.0002132579993485706,
            0.0002366859998801374,
            0.00032158199974219315,
            0.0001603780001460109,
            0.0010408369998913258,
            0.00015202699978544842,
            0.00022093799998401664,
            0.0002525449999666307,
            0.00021326999922166578,
            0.00023713100017630495,
            0.00033054600044124527,
            0.00017103500067605637,
            0.00030922499990992947,
            0.00016510400018887594,
            0.00022356799945555395,
            0.000256984000770899,
            0.00021673199989891145,
            0.0002578569992692792,
            0.00031906799995340407,
            0.00015678499948990066,
            0.0003115009994871798,
            0.0001499600002716761,
            0.0002268919997732155,
            0.0004193029999441933,
            0.00021636699966620654,
            0.0002545300003475859,
            0.00029691000054299366,
            0.0001715220005280571,
            0.00029291400005604373,
            0.00015542900018772343,
            0.00023995399988052668,
            0.00025465300041105365,
            0.00021464299970830325,
            0.00024724700051592663,
            0.000341930999638862,
            0.0001537530006316956,
            0.00030472900016320636,
            0.0001564069998494233,
            0.00025063499924726784,
            0.00027595200026553357,
            0.00021482100055436604,
            0.00023185699956229655,
            0.00030109199997241376,
            0.00014989200008130865,
            0.00029248300052131526,
            0.0001561089993629139,
            0.0002321029996892321,
            0.0002561190003689262,
            0.0002209249996667495,
            0.0002397520001977682,
            0.00030438199974014424,
            0.0001672059997872566,
            0.0003074489995924523,
            0.0001450809995731106,
            0.0002204469992648228,
            0.0002530430001570494,
            0.00021865399958187481,
            0.00024267699973279377,
            4.3839000682055485e-05,
            4.443800025910605e-05,
            3.865000053338008e-05,
            5.2305999815871473e-05,
            3.857200044876663e-05,
            4.0627999624121e-05,
            3.7445999623741955e-05,
            5.0259000090591144e-05,
            3.484900025796378e-05,
            3.588199979276396e-05,
            3.627299975050846e-05,
            3.7094000617798883e-05,
            3.48230005329242e-05,
            4.0238999645225704e-05,
            3.511500017339131e-05,
            3.804800053330837e-05,
            3.7103000067872927e-05,
            3.973900038545253e-05,
            3.5198000659875106e-05,
            3.6206000004312955e-05,
            3.622699932748219e-05,
            3.895600002579158e-05,
            4.608800009009428e-05,
            4.0036000427789986e-05,
            3.850499979307642e-05,
            3.770100011024624e-05,
            3.827099953923607e-05,
            3.948300036427099e-05,
            3.525200008880347e-05,
            3.953299983550096e-05,
            3.592000030039344e-05,
            3.943699994124472e-05,
            3.6778999856323935e-05,
            4.324099973018747e-05,
            3.472499975032406e-05,
            3.676599953905679e-05,
            3.563599966582842e-05,
            3.5865999961970374e-05,
            6.604000009247102e-05,
            5.43569994988502e-05,
            4.191499920125352e-05,
            3.7415999941003975e-05,
            3.5740000384976156e-05,
            3.582499994081445e-05,
            3.546900006767828e-05,
            3.823999941232614e-05,
            3.956299951823894e-05,
            3.8019000385247637e-05,
            3.909699989890214e-05,
            3.643099989858456e-05,
            3.7259999771777075e-05,
            4.117600019526435e-05,
            3.600300078687724e-05,
            3.8286000744847115e-05,
            3.449399991950486e-05,
            4.560900015349034e-05,
            3.965199994127033e-05,
            3.8705000406480394e-05,
            3.409799955989001e-05,
            3.740400006790878e-05,
            3.486299920041347e-05,
            3.874400044878712e-05,
            4.073000036441954e-05,
            3.684299917949829e-05,
            4.2177999603154603e-05,
            4.294500013202196e-05,
            3.8389999645005446e-05,
            4.370199985714862e-05,
            4.4287000491749495e-05,
            4.1882000004989095e-05,
            3.8811000194982626e-05,
            4.055399949720595e-05,
            5.22660002388875e-05,
            4.030499985674396e-05,
            4.767199970956426e-05,
            4.9387000217393506e-05,
            5.243400028120959e-05,
            5.029800013289787e-05,
            3.9522999941254966e-05,
            5.968000004941132e-05,
            4.2022000343422405e-05,
            4.0503000491298735e-05,
            3.9103999370126985e-05,
            6.898100036778487e-05,
            4.272400019544875e-05,
            4.987400006939424e-05,
            4.030399941257201e-05,
            4.9373999900126364e-05,
            4.306199934944743e-05,
            4.443000034370925e-05,
            4.931700004817685e-05,
            5.748700004915008e-05,
            4.8422999498143326e-05,
            6.62299999021343e-05,
            4.735999937111046e-05,
            4.872600038652308e-05,
            4.9870000111695845e-05,
            4.751500000566011e-05,
            4.019900006824173e-05,
            5.169199994270457e-05,
            4.7414999244210776e-05,
            4.399800036480883e-05,
            4.142199941270519e-05,
            4.219699985696934e-05,
            4.256200008967426e-05,
            4.247899960319046e-05,
            3.9448000279662665e-05,
            3.984200066042831e-05,
            4.454400004760828e-05,
            5.111900009069359e-05,
            4.7774999984540045e-05,
            4.7360000280605163e-05,
            4.016900038550375e-05,
            4.102000002603745e-05,
            4.194599932816345e-05,
            4.11750006605871e-05,
            4.82380000903504e-05,
            4.205900040687993e-05,
            3.9710000237391796e-05,
            4.2197000766464043e-05,
            5.504500040842686e-05,
            4.6690999624843244e-05,
            4.847599939239444e-05,
            4.3058999835920986e-05,
            4.108699977223296e-05,
            4.2265999582014047e-05,
            4.089800040674163e-05,
            4.291900040698238e-05,
            5.285699990054127e-05,
            5.28070004293113e-05,
            4.385899956105277e-05,
            5.356600013328716e-05,
            4.5775000216963235e-05,
            4.5447000047715846e-05,
            4.630000057659345e-05,
            5.502200019691372e-05,
            5.703100032405928e-05,
            4.8844000048120506e-05,
            4.6006000047782436e-05,
            5.8024999816552736e-05,
            4.4100000195612665e-05,
            4.838499990000855e-05,
            4.452299981494434e-05,
            4.539299970929278e-05,
            5.4030000683269463e-05,
            6.271399979596026e-05,
            4.597999941324815e-05,
            5.240800055617001e-05,
            6.142500023997854e-05,
            4.4209999941813294e-05,
            4.4596999941859394e-05,
            5.387599958339706e-05,
            5.446300019684713e-05,
            4.918299964629114e-05,
            4.83170006191358e-05,
            5.364199932955671e-05,
            5.132200021762401e-05,
            5.381099981605075e-05,
            5.139699987921631e-05,
            4.655900011130143e-05,
            4.356200042821001e-05,
            5.522399987967219e-05,
            4.408200038596988e-05,
            4.834200080949813e-05,
            5.209600021771621e-05,
            5.6287999541382305e-05,
            4.4875000639876816e-05,
            5.4874999477760866e-05,
            4.65319999420899e-05,
            5.486600002768682e-05,
            4.426900068210671e-05,
            5.849000081070699e-05,
            5.98679998802254e-05,
            6.263900013436796e-05,
            4.468499992071884e-05,
            5.535600030270871e-05,
            4.4628000068769325e-05,
            6.322099943645298e-05,
            4.4624999645748176e-05,
            5.4602000091108494e-05,
            5.463900015456602e-05,
            5.471700023917947e-05,
            5.578499985858798e-05,
            4.176800030109007e-05,
            5.486600002768682e-05,
            4.554399947664933e-05,
            4.3289999666740187e-05,
            5.205000070418464e-05,
            5.345600038708653e-05,
            4.402100057632197e-05,
            4.509000063990243e-05,
            4.872800036537228e-05,
            0.0001059340002029785,
            5.186100042919861e-05,
            6.644200038863346e-05,
            4.9061000026995316e-05,
            4.6361999920918606e-05,
            4.3187000301259104e-05,
            4.934800017508678e-05,
            4.374799937068019e-05,
            5.550900004891446e-05,
            4.591800006892299e-05,
            5.586299994320143e-05,
            4.970800000592135e-05,
            4.2985000618500635e-05,
            3.9388000004692e-05,
            4.634499964595307e-05,
            4.5340999349718913e-05,
            5.082600000605453e-05,
            4.4345999413053505e-05,
            6.74599996273173e-05,
            4.315999922255287e-05,
            5.5391000387317035e-05,
            4.169000021647662e-05,
            6.442100038839271e-05,
            4.397199973027455e-05,
            5.205199977353914e-05,
            4.413600072439294e-05,
            5.049999981565634e-05,
            4.547000025922898e-05,
            4.545499996311264e-05,
            4.3838000237883534e-05,
            4.562900085147703e-05,
            4.499700025917264e-05,
            5.376599983719643e-05,
            4.9496999963594135e-05,
            5.648600017593708e-05,
            4.3602000005193986e-05,
            5.155000053491676e-05,
            4.2551000660751015e-05,
            5.103800049255369e-05,
            4.3016000745410565e-05,
            5.233000047155656e-05,
            5.058900023868773e-05,
            5.817599958390929e-05,
            5.6990000302903354e-05,
            4.5187000068835914e-05,
            4.1958000110753346e-05,
            4.872800036537228e-05,
            4.612199973053066e-05,
            5.24990000485559e-05,
            5.0429000111762434e-05,
            5.387800047174096e-05,
            4.590299977280665e-05,
            5.93230006415979e-05,
            4.962500042893225e-05,
            4.548800006887177e-05,
            8.154399984050542e-05,
            5.3529999604506884e-05,
            4.279000040696701e-05,
            6.882399975438602e-05,
            5.578899981628638e-05,
            5.966000026091933e-05,
            4.6920999920985196e-05,
            4.886799979431089e-05,
            4.466900008992525e-05,
            9.823499931371771e-05,
            7.168800038925838e-05,
            9.85610004136106e-05,
            6.880199998704484e-05,
            7.115600055840332e-05,
            5.814500036649406e-05,
            7.184900005086092e-05,
            6.833299994468689e-05,
            0.00010186300005443627,
            7.35889998395578e-05,
            0.00010374400062573841,
            6.873599977552658e-05,
            6.140699952084105e-05,
            6.694499916193308e-05,
            6.007699994370341e-05,
            6.674599990219576e-05,
            9.897000018099789e-05,
            7.799099967087386e-05,
            9.402599971508607e-05,
            6.14990003668936e-05,
            6.421499983844114e-05,
            6.674999985989416e-05,
            6.191499960550573e-05,
            8.971999977802625e-05,
            0.00012163099927420262,
            6.69230003040866e-05,
            9.418700028618332e-05,
            5.610599964711582e-05,
            6.0357000620570034e-05,
            6.749699969077483e-05,
            6.460899930971209e-05,
            6.607100021938095e-05,
            0.00010341699999116827,
            7.998500041139778e-05,
            0.00010710999958973844,
            7.217500024125911e-05,
            6.961400049476651e-05,
            6.846100041002501e-05,
            6.339799983834382e-05,
            6.965499960642774e-05,
            0.00010152800041396404,
            7.318099960684776e-05,
            0.0001005690000965842,
            6.668900005024625e-05,
            7.251600072777364e-05,
            6.674599990219576e-05,
            5.974000032438198e-05,
            6.798400045227027e-05,
            0.00010457000007590977,
            7.833099971321644e-05,
            0.0001051620001817355,
            6.889599990245188e-05,
            6.268000015552389e-05,
            6.480499996541766e-05,
            5.942100051470334e-05,
            6.820999988121912e-05,
            0.0001081710006474168,
            7.546699998783879e-05,
            0.00011230000018258579,
            5.756599966844078e-05,
            5.976599913992686e-05,
            6.639900038862834e-05,
            7.112600087566534e-05,
            5.759699979535071e-05,
            0.00022352199994202238,
            0.0003462009999566362,
            0.00028337300045677694,
            0.00017537800067657372,
            0.0001810730000215699,
            0.00019226500080549158,
            0.000160365999363421,
            0.00014807699972152477,
            0.0002456250003888272,
            0.0001656379999985802,
            0.0002535479998186929,
            0.00016408100054832175,
            0.00016731199957575882,
            0.00015276900012395345,
            0.00016899099955480779,
            0.00014956399991206126,
            0.00024395500076934695,
            0.0001561170001878054,
            0.00026737900043372065,
            0.00016589400001976173,
            0.0001584230003572884,
            0.00016404500001954148,
            0.0001682920001258026,
            0.00015097400046215625,
            0.00021994300004735123,
            0.00015202199938357808,
            0.00026262400024279486,
            0.00016737799978727708,
            0.00021079500038467813,
            0.0002538940007070778,
            0.00016730799961806042,
            0.0001491390003138804,
            0.00028813900007662596,
            0.00024079400009213714,
            0.0002526039997974294,
            0.00015545499991276301,
            0.00017274400033784332,
            0.00017165300050692167,
            0.00015677200008212822,
            0.0001535239998702309,
            0.00024877699979697354,
            0.00015186400014499668,
            0.0002551670004322659,
            0.0001576310005475534,
            0.00018543799978942843,
            0.0001540670000395039,
            0.000165017999279371,
            0.00014523600020766025,
            0.00021488200036401395,
            0.00016564900033699814,
            0.0002636720000737114,
            0.00016109100033645518,
            0.00016708099974493962,
            0.00015973900008248165,
            0.0001624369997443864,
            0.00015232099940476473,
            0.00022678999994241167,
            0.00015218699991237372,
            0.0002418690000922652,
            0.00017396800012647873,
            0.00016061699989222689,
            0.00018831499983207323,
            0.00017581699921720428,
            0.00014892400031385478,
            8.102599986159476e-05,
            5.636300011246931e-05,
            6.236199988052249e-05,
            5.38120002602227e-05,
            5.6259999837493524e-05,
            4.6024000766919926e-05,
            5.881299966858933e-05,
            4.687999989982927e-05,
            6.091999966884032e-05,
            5.705399962607771e-05,
            6.171699988044566e-05,
            4.723599977296544e-05,
            5.150500055606244e-05,
            4.77619996672729e-05,
            5.028200030210428e-05,
            4.7289999201893806e-05,
            5.814199994347291e-05,
            6.080900038796244e-05,
            6.66050000290852e-05,
            4.719399930763757e-05,
            4.796499979420332e-05,
            5.134100047143875e-05,
            5.2815999879385345e-05,
            4.825100040761754e-05,
            6.194100024004001e-05,
            5.392300045059528e-05,
            6.718799977534218e-05,
            4.654399981518509e-05,
            4.978499964636285e-05,
            4.265100051270565e-05,
            5.694800074707018e-05,
            4.666599943448091e-05,
            6.278500040934887e-05,
            4.468499992071884e-05,
            7.16599997758749e-05,
            6.0463999943749513e-05,
            5.432400030258577e-05,
            4.191999960312387e-05,
            6.318499981716741e-05,
            4.394799998408416e-05,
            6.50550000500516e-05,
            4.610799987858627e-05,
            6.943100015632808e-05,
            5.5933999647095334e-05,
            5.272699945635395e-05,
            4.398600049171364e-05,
            5.863599926669849e-05,
            4.4475000322563574e-05,
            5.939000038779341e-05,
            5.123899973114021e-05,
            6.869000026199501e-05,
            5.643500026053516e-05,
            5.010499990021344e-05,
            4.4424999941838905e-05,
            5.408400011219783e-05,
            4.455899943422992e-05,
            6.142500023997854e-05,
            4.413999977259664e-05,
            6.396400021912996e-05,
            5.283799964672653e-05,
            5.02439997944748e-05,
            4.465300025913166e-05,
            5.6821000725904014e-05,
            4.656100009015063e-05,
            0.0001588280001669773,
            7.682100022066152e-05,
            0.00016590100040048128,
            8.051600070757559e-05,
            9.579400011716643e-05,
            7.302300036826637e-05,
            8.275399977719644e-05,
            7.162100064306287e-05,
            0.00017892300002131378,
            6.479500007117167e-05,
            0.0001534020002509351,
            7.987100070749875e-05,
            0.00010687299982237164,
            9.15040000109002e-05,
            9.86320001175045e-05,
            6.796600064262748e-05,
            0.00017288000071857823,
            6.28059997325181e-05,
            0.00016654199953336501,
            7.50740000512451e-05,
            7.907399958639871e-05,
            7.067099977575708e-05,
            8.314200022141449e-05,
            6.997000036790268e-05,
            0.000153214000420121,
            8.56830001794151e-05,
            0.0001726000000417116,
            8.680800056026783e-05,
            8.130300011544023e-05,
            6.930899962753756e-05,
            8.294700000988087e-05,
            7.458800064341631e-05,
            0.00017517000014777295,
            8.858100045472383e-05,
            0.0001574079997226363,
            9.61559999268502e-05,
            8.393400003114948e-05,
            7.099999947968172e-05,
            8.114000047498848e-05,
            7.308000022021588e-05,
            0.00017248800031666178,
            6.09520002399222e-05,
            0.00016187700020964257,
            7.178400028351462e-05,
            7.80099999246886e-05,
            6.979299996601185e-05,
            0.00010373799977969611,
            7.105400072759949e-05,
            0.0001678929993431666,
            7.37509999453323e-05,
            0.00017124900023191003,
            7.473900041077286e-05,
            8.09459997981321e-05,
            7.134099996619625e-05,
            7.935699977679178e-05,
            7.42819993320154e-05,
            0.00018818799981090706,
            7.509600072808098e-05,
            0.0001870240002972423,
            8.092099960776977e-05,
            8.25870001790463e-05,
            7.605700011481531e-05,
            8.530900049663614e-05,
            6.921000021975487e-05,
            0.0004816919999939273,
            0.0005208779994063661,
            0.00031675799982622266,
            0.0002704230000745156,
            0.00022038099996279925,
            0.00028663100056292024,
            0.00021173900040594162,
            0.00025688000005175127,
            0.0003122810003333143,
            0.0002413199999864446,
            0.00031390100048156455,
            0.00024977800057968125,
            0.0002464379995217314,
            0.00028972499967494514,
            0.00023585899998579407,
            0.00025042600009328453,
            0.0003016780001416919,
            0.0002468960001351661,
            0.00031028600005811313,
            0.00024689499969099415,
            0.00025607499992474914,
            0.0002864119996957015,
            0.00023355499979516026,
            0.0002473939994160901,
            0.00031810499967832584,
            0.00022189999981492292,
            0.0003117280002697953,
            0.00023669900019740453,
            0.00022452200028055813,
            0.00028630699944187654,
            0.00021894299970881548,
            0.0002467399999659392,
            0.00030967899965617107,
            0.00021160999949643156,
            0.0003013790001205052,
            0.00023417300053552026,
            0.00022733299920218997,
            0.0002795850004986278,
            0.0002182789994549239,
            0.00024733500049478607,
            0.00037873299970669905,
            0.00021934100004727952,
            0.0003064339998672949,
            0.00023353500000666827,
            0.00022330800038616871,
            0.00028402799944160506,
            0.00023670900009165052,
            0.0002527720007492462,
            0.0003083930005232105,
            0.00023436800074705388,
            0.0003060199996980373,
            0.000261008000052243,
            0.0002540140003475244,
            0.00027891399986401666,
            0.00022065000030124793,
            0.0002634470001794398,
            0.000307871999211784,
            0.00022337999962473987,
            0.00032543999986955896,
            0.0002460590003465768,
            0.00025264299983973615,
            0.00031268899965652963,
            0.00023482899996452034,
            0.0002691450008569518,
            5.2342999879329e-05,
            0.0001122029998441576,
            4.570900000544498e-05,
            4.480799998418661e-05,
            4.017999981442699e-05,
            3.9864999962446745e-05,
            4.938399979437236e-05,
            4.184499994153157e-05,
            5.311199947755085e-05,
            4.8470999900018796e-05,
            4.989700028090738e-05,
            4.574899958242895e-05,
            4.9930999921343755e-05,
            4.228799934935523e-05,
            3.925100008927984e-05,
            4.1823000174190383e-05,
            6.432499958464177e-05,
            4.558300042845076e-05,
            5.1850999625457916e-05,
            4.867699954047566e-05,
            5.420800061983755e-05,
            4.794300002686214e-05,
            4.1106999560724944e-05,
            3.920699964510277e-05,
            4.8365000111516565e-05,
            4.514299962465884e-05,
            6.960300015634857e-05,
            4.7499000174866524e-05,
            4.1356000110681634e-05,
            3.904100049112458e-05,
            4.3387000005168375e-05,
            3.994700000475859e-05,
            4.7728000026836526e-05,
            4.5947000216983724e-05,
            5.7627000387583394e-05,
            4.546899981505703e-05,
            4.038499992020661e-05,
            4.046699996251846e-05,
            4.48159998995834e-05,
            4.5360000513028353e-05,
            4.449299922271166e-05,
            4.4119000449427404e-05,
            5.488199985848041e-05,
            4.438699943420943e-05,
            4.157000057603e-05,
            3.824499981419649e-05,
            3.45839998772135e-05,
            3.6856000406260137e-05,
            5.282600068312604e-05,
            4.733300011139363e-05,
            4.1727000279934146e-05,
            4.328099930717144e-05,
            3.8715999835403636e-05,
            4.057600017404184e-05,
            3.657600063888822e-05,
            3.733299945452018e-05,
            5.192000025999732e-05,
            3.891500000463566e-05,
            4.150099994149059e-05,
            4.118200013181195e-05,
            3.837099939119071e-05,
            3.825600015261443e-05,
            3.669900070235599e-05,
            3.465999998297775e-05,
            4.898000042885542e-05,
            5.834700004925253e-05,
            4.781500047101872e-05,
            6.209099956322461e-05,
            3.7882000469835475e-05,
            5.071099985798355e-05,
            3.85450002795551e-05,
            6.0489999668789096e-05,
            4.632099989976268e-05,
            6.189599935169099e-05,
            4.547200023807818e-05,
            6.625199966947548e-05,
            3.804900006798562e-05,
            6.889500036777463e-05,
            4.394200004753657e-05,
            5.000300006940961e-05,
            4.358099977253005e-05,
            7.703699975536438e-05,
            4.50529996669502e-05,
            6.934300017746864e-05,
            4.028900002595037e-05,
            5.3730999752588104e-05,
            3.759399987757206e-05,
            5.009699998481665e-05,
            4.415300008986378e-05,
            6.715300060022855e-05,
            4.705400078819366e-05,
            6.728799962729681e-05,
            4.09399999625748e-05,
            5.3299000683182385e-05,
            3.613099943322595e-05,
            5.781300023954827e-05,
            4.635300047084456e-05,
            6.929599931027042e-05,
            4.4471000364865176e-05,
            5.7037000260606874e-05,
            3.879300038533984e-05,
            6.409799971152097e-05,
            3.692300015245564e-05,
            3.6083000850339886e-05,
            4.868300038651796e-05,
            6.48340001134784e-05,
            4.4114000047557056e-05,
            6.426100026146742e-05,
            3.647999983513728e-05,
            4.9958999625232536e-05,
            4.3585999264905695e-05,
            4.331699983595172e-05,
            4.430999979376793e-05,
            6.309299988060957e-05,
            4.7105999328778125e-05,
            5.848499949934194e-05,
            4.75369997730013e-05,
            5.020299977331888e-05,
            3.6624000131268986e-05,
            4.8941000386548694e-05,
            4.5789000068907626e-05,
            6.694199964840664e-05,
            6.11160003245459e-05,
            6.018499971105484e-05,
            3.756600017368328e-05,
            5.116800002724631e-05,
            3.762800042750314e-05,
            5.1246999646537006e-05,
            6.917500013514655e-05,
            0.00012853400039603002,
            8.77799993759254e-05,
            0.00010666399975889362,
            4.7698999878775794e-05,
            5.2182000217726454e-05,
            4.393099970911862e-05,
            5.684200004907325e-05,
            7.083499986038078e-05,
            8.674300079292152e-05,
            8.293599967146292e-05,
            0.00010738699984358391,
            4.491300023801159e-05,
            5.388200042943936e-05,
            6.079299964767415e-05,
            6.132999988039955e-05,
            7.883000034780707e-05,
            0.00010749000011855969,
            7.7860000601504e-05,
            9.187200066662626e-05,
            4.3187000301259104e-05,
            5.525599954125937e-05,
            4.774699937115656e-05,
            5.5172999964270275e-05,
            6.911199943715474e-05,
            8.880099994712509e-05,
            7.106399971235078e-05,
            9.14229995032656e-05,
            4.779399932886008e-05,
            6.810400009271689e-05,
            5.3746999583381694e-05,
            5.1154999709979165e-05,
            7.196699971245835e-05,
            9.33580004129908e-05,
            8.046600032685092e-05,
            8.899099975678837e-05,
            4.609700044966303e-05,
            5.0361999456072226e-05,
            5.038299968873616e-05,
            5.674500062013976e-05,
            7.166599971242249e-05,
            9.803300054045394e-05,
            7.635100064362632e-05,
            8.498099941789405e-05,
            4.627399994205916e-05,
            6.388200017681811e-05,
            5.062499985797331e-05,
            5.165899983694544e-05,
            6.747099996573525e-05,
            0.00010913099958997918,
            7.672399988223333e-05,
            9.154399958788417e-05,
            4.5742999645881355e-05,
            5.0458000259823166e-05,
            4.6702999497938436e-05,
            5.100800080981571e-05,
            7.214600009319838e-05,
            9.294800020143157e-05,
            7.82389997766586e-05,
            9.09710006453679e-05,
            4.789600006915862e-05,
            5.639000028168084e-05,
            5.361599960451713e-05,
            5.2553999921656214e-05,
            0.001049396000780689,
            4.332099979365012e-05,
            6.334099998639431e-05,
            4.4903999878442846e-05,
            5.236099968897179e-05,
            4.1351999243488535e-05,
            4.5881000005465467e-05,
            4.0908000300987624e-05,
            5.789699935121462e-05,
            4.161299966654042e-05,
            5.626399979519192e-05,
            4.754699966724729e-05,
            5.20290004715207e-05,
            4.128599994146498e-05,
            5.068700011179317e-05,
            3.905300036421977e-05,
            6.012899939378258e-05,
            4.143600017414428e-05,
            5.456200051412452e-05,
            4.286900002625771e-05,
            5.053099994256627e-05,
            4.162300047028111e-05,
            5.355600023904117e-05,
            4.189100036455784e-05,
            6.007800038787536e-05,
            4.406199968798319e-05,
            5.89360006415518e-05,
            4.255400017427746e-05,
            4.3632999222609214e-05,
            4.528299996309215e-05,
            5.183400025998708e-05,
            4.907400034426246e-05,
            6.10229999438161e-05,
            4.032900051242905e-05,
            7.11190004949458e-05,
            4.134399932809174e-05,
            5.095799951959634e-05,
            4.25709995397483e-05,
            5.101300030219136e-05,
            3.827399996225722e-05,
            6.767499962734291e-05,
            4.309299947635736e-05,
            6.386300083249807e-05,
            4.138300027989317e-05,
            4.860199987888336e-05,
            3.93919999623904e-05,
            4.950299990014173e-05,
            4.036700011056382e-05,
            7.279500005097361e-05,
            4.238900055497652e-05,
            6.162400040921057e-05,
            4.223099949740572e-05,
            5.648000023938948e-05,
            4.6361999920918606e-05,
            5.3749000471725594e-05,
            3.988899970863713e-05,
            6.263200066314312e-05,
            4.408699987834552e-05,
            6.047100032446906e-05,
            4.057700061821379e-05,
            4.7958999857655726e-05,
            3.98519996451796e-05,
            4.889899992122082e-05,
            4.017300034320215e-05,
            0.0001366219994451967,
            0.0001108110000132001,
            0.0001238410004589241,
            0.00010566899982222822,
            7.138500041037332e-05,
            8.9414999820292e-05,
            7.428699973388575e-05,
            9.025000053952681e-05,
            0.00012472900016291533,
            0.000125770000522607,
            0.00011303500014037127,
            0.00012497100033215247,
            7.485599962819833e-05,
            7.395499960693996e-05,
            7.94750003478839e-05,
            5.9019999753218144e-05,
            0.00012309500016272068,
            0.00011293500028841663,
            0.00011971499952778686,
            0.00010621300043567317,
            8.196399994631065e-05,
            6.26459996055928e-05,
            7.049799933156464e-05,
            6.996999945840798e-05,
            0.0001415999995515449,
            0.00010446799933561124,
            0.00012526599948614603,
            0.00010016400028689532,
            6.87140000081854e-05,
            7.147199994506082e-05,
            7.518500024161767e-05,
            6.779599971196149e-05,
            0.00012439500005712034,
            0.00011303900009806966,
            0.00012219700056448346,
            0.00011636499948508572,
            6.899399977555731e-05,
            7.167599960666848e-05,
            6.76159997965442e-05,
            6.968199977563927e-05,
            0.00012184600018372294,
            0.00010968599963234738,
            0.00013695500001631444,
            0.00010257300073135411,
            7.920700045360718e-05,
            6.184899939398747e-05,
            6.89429998601554e-05,
            7.13499994162703e-05,
            0.0001423029998477432,
            0.00012284700005693594,
            0.00011680999978125328,
            0.00010511700020288117,
            6.704000043100677e-05,
            6.940599996596575e-05,
            6.895899969094899e-05,
            6.885299990244675e-05,
            0.00013380299969867337,
            0.00011100299980171258,
            0.00013439199938147794,
            0.00010767200001282617,
            7.14190000508097e-05,
            7.218199971248396e-05,
            6.901100005052285e-05,
            7.15709993528435e-05,
            0.00033071399957407266,
            0.0007404770003631711,
            0.0002789250002024346,
            0.00041950700051529566,
            0.0005837899998368812,
            0.0002362119994359091,
            0.0005544969999391469,
            0.0002012880004258477,
            0.00028449399997043656,
            0.0003339929999128799,
            0.0002907209991462878,
            0.00037700499979109736,
            0.0005610540001725894,
            0.00022360399998433422,
            0.000575912999920547,
            0.00021223600015218835,
            0.0002652359999046894,
            0.000343206000252394,
            0.00027258200043434044,
            0.0004649880002034479,
            0.0005197789996600477,
            0.00022945999990042765,
            0.0006128459999672486,
            0.00020230200061632786,
            0.0003050340001209406,
            0.00032583899974270025,
            0.00028049600041413214,
            0.0003669049992822693,
            0.000623221000751073,
            0.00021991899939166615,
            0.00047106600050028646,
            0.00021574499987764284,
            0.0002964909999718657,
            0.00034025900004053256,
            0.0002742990000115242,
            0.00036521499987429706,
            0.0005657699994117138,
            0.00022058099966670852,
            0.000491169999804697,
            0.00021408399970823666,
            0.000300177000099211,
            0.00033636900025157956,
            0.0003070379998462158,
            0.00037645199972757837,
            0.0006054840005162987,
            0.00022923500000615604,
            0.000481437999951595,
            0.00020215199947415385,
            0.0002883710003516171,
            0.0003423710004426539,
            0.00029443399944284465,
            0.0003649750005934038,
            0.0006473650000771158,
            0.00021843000013177516,
            0.0006475069994849036,
            0.0003864270001940895,
            0.0003022070004590205,
            0.0003287130002718186,
            0.0002747960006672656,
            0.00038797200068074744,
            0.0005923809994783369,
            0.00022734499998477986,
            0.0006339410001601209,
            0.0002098220002153539,
            8.667299971421016e-05,
            4.9759999456000514e-05,
            8.23560003482271e-05,
            4.4768999941879883e-05,
            5.6242000027850736e-05,
            4.174700006842613e-05,
            0.0003807909997703973,
            4.1256000258727e-05,
            8.353300017915899e-05,
            4.3758000174420886e-05,
            8.349599920620676e-05,
            4.1140000575978775e-05,
            6.550600028276676e-05,
            4.244800038577523e-05,
            6.27250001343782e-05,
            4.032900051242905e-05,
            8.203099969250616e-05,
            4.427799922268605e-05,
            8.199800049624173e-05,
            4.529099987848895e-05,
            6.763900000805734e-05,
            4.438800078787608e-05,
            6.333100009214832e-05,
            4.300699947634712e-05,
            8.092999996733852e-05,
            4.356400040705921e-05,
            8.059300034801709e-05,
            4.4133000301371794e-05,
            5.772499935119413e-05,
            4.463599998416612e-05,
            6.396199933078606e-05,
            4.2939000195474364e-05,
            8.710299971426139e-05,
            4.415799958223943e-05,
            9.001499984151451e-05,
            6.026400023984024e-05,
            5.989299916109303e-05,
            4.2716999814729206e-05,
            7.006900068518007e-05,
            4.238800011080457e-05,
            8.877300024323631e-05,
            4.3914000343647785e-05,
            8.990300011646468e-05,
            4.2607999603205826e-05,
            6.205600038811099e-05,
            3.972200011048699e-05,
            6.971600032557035e-05,
            3.9785999433661345e-05,
            8.61469998199027e-05,
            4.4966999666939955e-05,
            8.358700051758206e-05,
            4.6733999624848366e-05,
            5.72989993088413e-05,
            4.3574000301305205e-05,
            6.26580003881827e-05,
            3.881499924318632e-05,
            8.462400001008064e-05,
            4.4426999920688104e-05,
            8.342700039065676e-05,
            4.471100055525312e-05,
            6.476199996541254e-05,
            3.895699956046883e-05,
            6.328299969027285e-05,
            3.9132999518187717e-05,
            0.00021438400017359527,
            0.0001392620006299694,
            0.00016907799999898998,
            0.00012261000028956914,
            0.0001098080001611379,
            9.790999956749147e-05,
            0.00011935500060644699,
            7.612599983986001e-05,
            0.00018760399962047813,
            0.00011418899975979002,
            0.0001764010003171279,
            0.00012599399997270666,
            0.00011062999965361087,
            8.760299988352926e-05,
            0.0001113600001190207,
            7.625599937455263e-05,
            0.00017371699959767284,
            0.00011776900009863311,
            0.00021341100000427105,
            0.0001221919992531184,
            0.00012403599976096302,
            0.00010089199986396125,
            0.00012524600060714874,
            7.303900019905996e-05,
            0.00018034599997918122,
            0.00011511600041558268,
            0.00017956400006369222,
            0.00012107899965485558,
            0.00011400600033084629,
            9.210200005327351e-05,
            0.00011815700054285116,
            7.499599996663164e-05,
            0.00019140699987474363,
            0.0001242199996340787,
            0.00017585899968253216,
            0.000117716000204382,
            0.00011361499946360709,
            9.81820003289613e-05,
            0.00011534899931575637,
            7.37529999241815e-05,
            0.000169296999956714,
            0.00014023200037627248,
            0.00019775100008700974,
            0.00011740700028894935,
            0.00011203299982298631,
            9.015100022224942e-05,
            0.00011505699967528926,
            7.261099926836323e-05,
            0.00017132799985120073,
            0.000137095999889425,
            0.000199066999812203,
            0.00012854600026912522,
            0.0001125230000980082,
            9.739899996930035e-05,
            0.0001140790000135894,
            9.216599937644787e-05,
            0.00020558400046866154,
            0.00012543999946501572,
            0.00020507899989752332,
            0.00011153499963256763,
            0.00010897700030909618,
            8.965400047600269e-05,
            0.00011484599963296205,
            8.604899994679727e-05,
            0.0004398559995024698,
            0.0013639239996336983,
            0.0004656809996959055,
            0.000591880999309069,
            0.000662723000459664,
            0.0004582540004776092,
            0.0007797370008120197,
            0.00039997699968807865,
            0.0004919439998047892,
            0.0006313280000540544,
            0.00046900300003471784,
            0.0006054460000086692,
            0.0006658129996139905,
            0.00044912300018040696,
            0.0007095700002537342,
            0.0004013110001324094,
            0.0004884509999101283,
            0.0006501939997178852,
            0.0005092299998068484,
            0.0006271769998420496,
            0.0007315749999179388,
            0.0005870989998584264,
            0.0007417130000249017,
            0.0004116910004086094,
            0.0006146790001366753,
            0.000651467000352568,
            0.00048313099978258833,
            0.000592976999541861,
            0.0007965380000314326,
            0.0004756380003527738,
            0.0006671349992757314,
            0.0004014100004496868,
            0.0005058410006313352,
            0.0006526830002258066,
            0.0005464819996632286,
            0.0006072109999877284,
            0.0007691699993301881,
            0.0004417000000103144,
            0.0007510039995395346,
            0.0003970359994127648,
            0.0004899969999314635,
            0.0006713459997627069,
            0.0004906320000372943,
            0.000620142000116175,
            0.0006347320004351786,
            0.0004461050002646516,
            0.0006794159999117255,
            0.0004024170002594474,
            0.0004923879996567848,
            0.0006514609995065257,
            0.00055360400074278,
            0.0006313409994618269,
            0.0006844680001449888,
            0.00044434499977796804,
            0.0006737989997418481,
            0.00040604100013297284,
            0.0005093130002933322,
            0.0006957099994906457,
            0.0005127670001456863,
            0.0006592030003957916,
            0.0006912799999554409,
            0.00045465800030797254,
            0.0006957150008020108,
            0.0003974780001954059
        ],
        "test_time": 7.190743364999889
    },
    "group_norm_test.py:test_group_norm_xla": {
        "operations": [],
        "test_time": 0.17507077400023263
    },
    "is_same_size_test.py:test_is_same_size_cpu": {
        "operations": [
            3.0686000172863714e-05,
            2.97599945042748e-06,
            1.794999661797192e-06
        ],
        "test_time": 0.001249044999894977
    },
    "is_same_size_test.py:test_is_same_size_xla": {
        "operations": [
            1.1377999726391863e-05,
            2.9590000849566422e-06,
            2.0729994503199123e-06
        ],
        "test_time": 0.004283373999896867
    },
    "jvp_test.py:test_jacobian_match_vjp_jvp_base_tensor_cpu": {
        "operations": [
            0.03120946799936064
        ],
        "test_time": 0.03377125099996192
    },
    "jvp_test.py:test_jacobian_match_vjp_jvp_base_tensor_xla": {
        "operations": [
            0.0021801729999424424
        ],
        "test_time": 10.949141714000689
    },
    "jvp_test.py:test_jacobian_match_vjp_jvp_logging_tensor_cpu": {
        "operations": [
            0.0016113040001073387
        ],
        "test_time": 0.015474209000785777
    },
    "jvp_test.py:test_jacobian_match_vjp_jvp_logging_tensor_xla": {
        "operations": [
            0.0028726459995596088
        ],
        "test_time": 10.559864064999601
    },
    "jvp_test.py:test_jvp_create_graph_base_tensor_cpu": {
        "operations": [
            0.0002050180000878754,
            0.0003622329995778273,
            0.0002812429993355181,
            0.00024204799956351053,
            0.00024428699998679804,
            0.00022734699996362906,
            0.00024589099939476,
            0.00022822800019639544,
            0.0002332439999008784,
            0.00023513699943578104,
            0.0002544820008552051,
            0.00024766500064288266,
            0.00024067000049399212,
            0.0002951220003524213,
            0.0002516650001780363,
            0.0002616040001157671,
            0.00023854300070524914,
            0.00024882600064302096,
            0.000251923000178067,
            0.0002711470006033778,
            0.000236662000133947,
            0.0002492670000719954,
            0.00023741399945720332,
            0.0002525789996070671,
            0.00030280200007837266,
            0.0003852820000247448,
            0.0002645919994392898,
            0.0003064919992539217
        ],
        "test_time": 0.22126429500076483
    },
    "jvp_test.py:test_jvp_create_graph_base_tensor_xla": {
        "operations": [
            0.0024753130001045065
        ],
        "test_time": 35.723119652000605
    },
    "jvp_test.py:test_jvp_create_graph_logging_tensor_cpu": {
        "operations": [
            0.0011855309994643903,
            0.001759594999384717,
            0.0017333200003122329,
            0.0019276080001873197,
            0.0016932110002016998,
            0.0016995479991237517,
            0.0018924260002677329,
            0.0016872340002009878,
            0.0016833489999044104,
            0.001696861999334942,
            0.0019379570003366098,
            0.0017378350003127707,
            0.0016807979991426691,
            0.0017468349997216137,
            0.0016947300000538235,
            0.0016973689998849295,
            0.0018090789999405388,
            0.0017417130002286285,
            0.001698039999610046,
            0.001832934999583813,
            0.0017113439998865942,
            0.0017666369994913111,
            0.0016906519995245617,
            0.0017268179999518907,
            0.0016783270002633799,
            0.0017084820001400658,
            0.001698533000308089,
            0.0016844129995661206
        ],
        "test_time": 0.35993713900006696
    },
    "jvp_test.py:test_jvp_create_graph_logging_tensor_xla": {
        "operations": [
            0.0036257829997339286
        ],
        "test_time": 36.03223182799957
    },
    "jvp_test.py:test_jvp_err_check_base_tensor_cpu": {
        "operations": [
            0.00021433900019474095
        ],
        "test_time": 0.0022657800000160933
    },
    "jvp_test.py:test_jvp_err_check_base_tensor_xla": {
        "operations": [
            0.0017128810004578554
        ],
        "test_time": 0.004639682999368233
    },
    "jvp_test.py:test_jvp_err_check_logging_tensor_cpu": {
        "operations": [
            0.0010994949998348602
        ],
        "test_time": 0.003315690999443177
    },
    "jvp_test.py:test_jvp_err_check_logging_tensor_xla": {
        "operations": [
            0.0025506860001769383
        ],
        "test_time": 0.005655242999637267
    },
    "jvp_test.py:test_jvp_err_check_strict_base_tensor_cpu": {
        "operations": [
            4.36549998994451e-05,
            8.679900020069908e-05,
            9.1959999735991e-05
        ],
        "test_time": 0.0024755100002948893
    },
    "jvp_test.py:test_jvp_err_check_strict_base_tensor_xla": {
        "operations": [
            5.7142000514431857e-05,
            0.00020780700015166076,
            0.0002263530004711356
        ],
        "test_time": 4.3238231710001855
    },
    "jvp_test.py:test_jvp_err_check_strict_logging_tensor_cpu": {
        "operations": [
            0.0004665610003939946,
            0.000627246000476589,
            0.00047085100050026085
        ],
        "test_time": 0.005611078000583802
    },
    "jvp_test.py:test_jvp_err_check_strict_logging_tensor_xla": {
        "operations": [
            0.0005975309995847056,
            0.0008886839996193885,
            0.0009023200000228826
        ],
        "test_time": 4.261681164000038
    },
    "jvp_test.py:test_jvp_no_grad_base_tensor_cpu": {
        "operations": [
            0.00017856500016932841,
            0.00015667000025132438
        ],
        "test_time": 0.0015655469997000182
    },
    "jvp_test.py:test_jvp_no_grad_base_tensor_xla": {
        "operations": [
            0.0026234150000163936,
            0.0013581820003309986
        ],
        "test_time": 0.007583921999867016
    },
    "jvp_test.py:test_jvp_no_grad_logging_tensor_cpu": {
        "operations": [
            0.0011341219997120788,
            0.0010629810003592866
        ],
        "test_time": 0.0034770819993354962
    },
    "jvp_test.py:test_jvp_no_grad_logging_tensor_xla": {
        "operations": [
            0.0026490770005693776,
            0.002010225000049104
        ],
        "test_time": 0.006142104999526055
    },
    "jvp_test.py:test_jvp_output_base_tensor_cpu": {
        "operations": [
            0.00017978600044443738,
            0.0002055569993899553,
            0.0002395940000496921
        ],
        "test_time": 0.0019675949997690623
    },
    "jvp_test.py:test_jvp_output_base_tensor_xla": {
        "operations": [
            0.0007906569999249768,
            0.00029260800056363223,
            0.0002570039996498963
        ],
        "test_time": 0.0028214590001880424
    },
    "jvp_test.py:test_jvp_output_logging_tensor_cpu": {
        "operations": [
            0.0011984450002273661,
            0.00109229499958019,
            0.0014687930006402894
        ],
        "test_time": 0.005445194999992964
    },
    "jvp_test.py:test_jvp_output_logging_tensor_xla": {
        "operations": [
            0.0019338550000611576,
            0.001248885999302729,
            0.0014621999998780666
        ],
        "test_time": 0.006282649000240781
    },
    "jvp_test.py:test_jvp_scalar_base_tensor_cpu": {
        "operations": [
            0.00018227999953523977,
            0.00028331500016065547,
            0.00017210000078193843
        ],
        "test_time": 0.0019002970002475195
    },
    "jvp_test.py:test_jvp_scalar_base_tensor_xla": {
        "operations": [
            0.0011977469994235435,
            0.0015777759999764385,
            0.00039455099977203645
        ],
        "test_time": 0.004680115000155638
    },
    "jvp_test.py:test_jvp_scalar_logging_tensor_cpu": {
        "operations": [
            0.0009458840004299418,
            0.016045198000028904,
            0.0015812330002518138
        ],
        "test_time": 0.019957333000093058
    },
    "jvp_test.py:test_jvp_scalar_logging_tensor_xla": {
        "operations": [
            0.0017804560002332437,
            0.0022690779996992205,
            0.001901863999592024
        ],
        "test_time": 0.007388620999336126
    },
    "kldivloss_test.py:test_KLDivLoss_batch_mean_cpu": {
        "operations": [
            7.194799945864361e-05,
            9.276800028601428e-05
        ],
        "test_time": 0.03950037100003101
    },
    "kldivloss_test.py:test_KLDivLoss_batch_mean_log_target_cpu": {
        "operations": [
            3.963399922213284e-05,
            4.2732999645522796e-05
        ],
        "test_time": 0.0013417019999906188
    },
    "kldivloss_test.py:test_KLDivLoss_batch_mean_log_target_xla": {
        "operations": [
            4.558700038614916e-05,
            8.673799948155647e-05
        ],
        "test_time": 5.106084168000052
    },
    "kldivloss_test.py:test_KLDivLoss_batch_mean_xla": {
        "operations": [
            0.0001098749999073334,
            0.0001221330003318144
        ],
        "test_time": 5.272481291999611
    },
    "linear_test.py:test_to_cpu": {
        "operations": [
            0.0003495999999358901
        ],
        "test_time": 0.0022160009993967833
    },
    "linear_test.py:test_to_xla": {
        "operations": [
            0.020695960999546514
        ],
        "test_time": 0.057178433000444784
    },
    "log1p_test.py:test_log1p_cpu_float32": {
        "operations": [
            0.045689481000408705,
            6.628499977523461e-05,
            3.526900036376901e-05,
            1.3841999134456273e-05,
            2.057799974863883e-05,
            2.58210002357373e-05,
            1.243699989572633e-05,
            3.942199964512838e-05,
            5.0536999879113864e-05,
            1.1018999430234544e-05,
            2.2662999981548637e-05,
            3.0426000193983782e-05
        ],
        "test_time": 0.11431152899967856
    },
    "log1p_test.py:test_log1p_cpu_float64": {
        "operations": [
            0.05032571900028415,
            4.8707000132708345e-05,
            3.462800032139057e-05,
            1.3121999472787138e-05,
            3.236400061723543e-05,
            3.1691000003775116e-05,
            1.1324999832140747e-05,
            4.897799954051152e-05,
            4.977200023859041e-05,
            1.2668000636040233e-05,
            2.869299987651175e-05,
            3.6702999750559684e-05
        ],
        "test_time": 0.06471767400034878
    },
    "log1p_test.py:test_log1p_cpu_int16": {
        "operations": [
            2.1590999494947027e-05,
            3.452800046943594e-05,
            1.8984999769600108e-05,
            3.3570000596228056e-05,
            1.9179999981133733e-05,
            5.476400019688299e-05,
            1.614600023458479e-05,
            3.0883999897923786e-05
        ],
        "test_time": 0.044827215000623255
    },
    "log1p_test.py:test_log1p_cpu_int32": {
        "operations": [
            2.6003000130003784e-05,
            3.726799968717387e-05,
            1.9062999854213558e-05,
            3.366399960214039e-05,
            2.2266999621933792e-05,
            5.37370005986304e-05,
            1.6791000234661624e-05,
            3.180699968652334e-05
        ],
        "test_time": 0.04414128700045694
    },
    "log1p_test.py:test_log1p_cpu_int64": {
        "operations": [
            2.6637000701157376e-05,
            3.809400004683994e-05,
            1.8445000023348257e-05,
            3.354500040586572e-05,
            1.885700021375669e-05,
            5.324399990058737e-05,
            1.5950000488373917e-05,
            3.1057000342116226e-05
        ],
        "test_time": 0.044097048999901745
    },
    "log1p_test.py:test_log1p_cpu_int8": {
        "operations": [
            2.6263999643560965e-05,
            3.707999985635979e-05,
            1.924900061567314e-05,
            3.3244000405829865e-05,
            1.9080000129179098e-05,
            5.377400066208793e-05,
            1.6028999198169913e-05,
            3.080399983446114e-05
        ],
        "test_time": 0.04410036199988099
    },
    "log1p_test.py:test_log1p_cpu_uint8": {
        "operations": [
            2.5696000193420332e-05,
            3.766999998333631e-05,
            1.8757999896479305e-05,
            3.3864000215544365e-05,
            1.9441999938862864e-05,
            5.529999998543644e-05,
            1.639099991734838e-05,
            3.109400040557375e-05
        ],
        "test_time": 0.04457811399970524
    },
    "log1p_test.py:test_log1p_xla_float32": {
        "operations": [],
        "test_time": 0.09029971600011777
    },
    "log1p_test.py:test_log1p_xla_float64": {
        "operations": [],
        "test_time": 0.022145726999951876
    },
    "log1p_test.py:test_log1p_xla_int16": {
        "operations": [],
        "test_time": 0.0351967609994972
    },
    "log1p_test.py:test_log1p_xla_int32": {
        "operations": [],
        "test_time": 0.02204976099983469
    },
    "log1p_test.py:test_log1p_xla_int64": {
        "operations": [],
        "test_time": 0.021613742999761598
    },
    "log1p_test.py:test_log1p_xla_int8": {
        "operations": [],
        "test_time": 0.02360752999993565
    },
    "log1p_test.py:test_log1p_xla_uint8": {
        "operations": [],
        "test_time": 0.03496315099982894
    },
    "logdet_test.py:test_det_logdet_slogdet_batched_cpu_float64": {
        "operations": [
            0.10083611500067491,
            0.00010276299963152269,
            0.00013773899991065264,
            8.29029995657038e-05,
            8.32030000310624e-05,
            9.247500020137522e-05,
            8.784500005276641e-05,
            9.530399984214455e-05,
            8.914299996831687e-05,
            0.0001399100001435727,
            8.519800030626357e-05,
            7.876099971326767e-05,
            8.386699937545927e-05,
            8.075099958659848e-05,
            8.260000049631344e-05,
            9.846600005403161e-05,
            9.494999994785758e-05,
            9.872200007521315e-05,
            9.443700037081726e-05,
            0.00011236200043640565
        ],
        "test_time": 0.6078373139998803
    },
    "logdet_test.py:test_det_logdet_slogdet_batched_xla_float64": {
        "operations": [
            4.351500047050649e-05,
            2.935799966508057e-05,
            2.985399987665005e-05,
            2.3734000023978297e-05,
            2.58979998761788e-05,
            2.5897000341501553e-05,
            2.9275000088091474e-05,
            3.374800053279614e-05,
            2.787300036288798e-05,
            3.375799951754743e-05,
            3.4974999834958e-05,
            2.8757999643858057e-05,
            7.055300011415966e-05,
            2.4832999770296738e-05,
            2.6687000172387343e-05,
            3.4298999707971234e-05,
            2.9056999665044714e-05,
            3.046300025744131e-05,
            2.7148000299348496e-05,
            2.965199928439688e-05
        ],
        "test_time": 345.9559950140001
    },
    "logdet_test.py:test_det_logdet_slogdet_cpu_float64": {
        "operations": [
            4.507100038608769e-05,
            0.0008338959996763151,
            0.04051252499994007,
            0.00727781900059199,
            0.002284564000547107,
            7.532699964940548e-05,
            5.0502999329182785e-05,
            2.9765999897790607e-05,
            3.1302999559557065e-05,
            3.748500057554338e-05,
            3.532599930622382e-05,
            3.554299928509863e-05,
            4.281899964553304e-05,
            4.239900044922251e-05,
            4.182199973001843e-05,
            3.714600006787805e-05,
            4.0034999983618036e-05,
            3.585600006772438e-05,
            4.022899975097971e-05,
            4.7530000301776454e-05,
            3.533799917931901e-05,
            5.5096999858506024e-05,
            3.86909996450413e-05,
            2.996300008817343e-05,
            2.9674999495910015e-05,
            4.601999989972683e-05,
            3.8931999370106496e-05,
            3.804199968726607e-05,
            8.294899998873007e-05,
            3.559000015229685e-05,
            3.5258000025351066e-05,
            3.104799998254748e-05,
            2.985600076499395e-05,
            3.51999997292296e-05,
            3.582900080800755e-05,
            3.0457000320893712e-05,
            3.166699934809003e-05,
            3.601000025810208e-05,
            3.534499956003856e-05,
            3.689300046971766e-05,
            3.4884999877249356e-05,
            3.461699998297263e-05,
            3.5320999813848175e-05,
            3.1007999496068805e-05,
            3.078999998251675e-05,
            3.6344999898574315e-05,
            3.681500038510421e-05,
            4.6131999624776654e-05,
            4.169200019532582e-05,
            3.62860000677756e-05,
            4.789000013261102e-05,
            5.142500049259979e-05,
            3.062999985559145e-05,
            3.7480000173673034e-05,
            3.5645000025397167e-05,
            3.52870001734118e-05,
            3.97080002585426e-05,
            3.69140007023816e-05,
            3.4564000088721514e-05,
            3.682199985632906e-05,
            3.0017999961273745e-05,
            3.0125999728625175e-05,
            2.9407999136310536e-05,
            3.0174999665177893e-05,
            4.6284999370982405e-05,
            3.4982000215677544e-05,
            3.483900036371779e-05,
            3.511700015224051e-05,
            3.100399953837041e-05,
            3.0219000109354965e-05,
            2.9709000045841094e-05,
            3.053599994018441e-05,
            3.579599979275372e-05,
            3.626000034273602e-05,
            3.506299981381744e-05,
            3.559600008884445e-05,
            3.157099945383379e-05,
            3.118800032098079e-05,
            2.9528000595746562e-05,
            3.0453000363195315e-05,
            3.5815999581245705e-05,
            3.491600000415929e-05,
            3.5494000258040614e-05,
            3.515900061756838e-05,
            3.044599998247577e-05,
            3.5832999856211245e-05,
            4.717199954029638e-05,
            3.8962999497016426e-05,
            4.7809000534471124e-05,
            3.5230000321462285e-05,
            3.067800025746692e-05,
            3.072399977099849e-05,
            3.0037000215088483e-05,
            3.5445999856165145e-05,
            3.5058999856119044e-05,
            3.757800004677847e-05,
            3.5400999877310824e-05,
            3.5226999898441136e-05,
            3.076899974985281e-05,
            4.0240000089397654e-05,
            3.546799962350633e-05,
            3.480300074443221e-05,
            3.519199981383281e-05,
            3.570300032151863e-05,
            3.539099998306483e-05,
            3.625900080805877e-05,
            3.1458999728783965e-05,
            3.6363000617711805e-05,
            3.720600034284871e-05,
            4.618599996319972e-05,
            3.5511000533006154e-05,
            3.035000008821953e-05,
            2.9861000257369597e-05,
            2.9318000088096596e-05,
            3.0395000067073852e-05,
            3.596399983507581e-05,
            3.521899998304434e-05,
            3.47380000675912e-05,
            3.5633000152301975e-05,
            2.989899985550437e-05,
            3.026100057468284e-05,
            2.9398999686236493e-05,
            2.991600013046991e-05,
            3.695800023706397e-05,
            4.646700017474359e-05,
            3.788999947573757e-05,
            4.2812000174308196e-05,
            4.0421999983664136e-05,
            3.0080999749770854e-05,
            2.970200057461625e-05,
            3.0122999305604026e-05,
            3.6271000681153964e-05,
            3.476100027910434e-05,
            3.4267999581061304e-05,
            3.550300061760936e-05,
            3.3586999961698893e-05,
            3.602600008889567e-05,
            3.663200004666578e-05,
            3.601200023695128e-05,
            3.52850001945626e-05,
            3.520700010994915e-05,
            3.079699945374159e-05,
            3.018200004589744e-05,
            3.5601000490714796e-05,
            3.55909996869741e-05,
            3.540499983500922e-05,
            3.6004999856231734e-05,
            3.55199999830802e-05,
            3.5907999517803546e-05,
            3.1178999961412046e-05,
            3.0250999770942144e-05,
            2.9181000172684435e-05,
            3.6159999581286684e-05,
            3.511299928504741e-05,
            3.586999991966877e-05,
            3.573100002540741e-05,
            3.616899994085543e-05,
            3.0416999834415037e-05,
            3.569000000425149e-05,
            3.268000000389293e-05,
            3.0047999644011725e-05,
            5.277899981592782e-05,
            3.8873999983479735e-05,
            3.8844999835419e-05,
            4.592000004777219e-05,
            3.553099941200344e-05,
            3.895500049111433e-05,
            3.516299966577208e-05,
            3.0407999474846292e-05,
            3.0049999622860923e-05,
            3.467599981377134e-05,
            3.5263000427221414e-05,
            3.4456000321370084e-05,
            3.56680002369103e-05,
            3.603799996199086e-05,
            3.4764000702125486e-05,
            3.0152999897836708e-05,
            3.0139000045892317e-05,
            3.702199956023833e-05,
            3.542499962350121e-05,
            3.496799945423845e-05,
            3.6697999348689336e-05,
            3.577600000426173e-05,
            3.502999970805831e-05,
            2.9987000743858516e-05,
            2.9647999326698482e-05,
            3.599199953896459e-05,
            3.593399924284313e-05,
            3.057200046896469e-05,
            3.0887000320944935e-05,
            3.618000027927337e-05,
            3.546000061760424e-05,
            3.517799996188842e-05,
            3.5508999644662254e-05,
            3.0433999199885875e-05,
            3.578100040613208e-05,
            3.0700000024808105e-05,
            3.172000015183585e-05,
            4.6686999667144846e-05,
            3.880300027958583e-05,
            4.022900066047441e-05,
            4.581499979394721e-05,
            3.0684000194014516e-05,
            3.541200021572877e-05,
            3.1274000320991036e-05,
            3.087599998252699e-05,
            3.5680000110005494e-05,
            3.526399996189866e-05,
            3.502300023683347e-05,
            3.9045000448822975e-05,
            4.7077000090212096e-05,
            3.500300044834148e-05,
            3.569000000425149e-05,
            3.0090999644016847e-05,
            3.049400038435124e-05,
            3.0840999897918664e-05,
            3.081299928453518e-05,
            3.579599979275372e-05,
            3.606200061767595e-05,
            3.553299939085264e-05,
            3.512799958116375e-05,
            3.0205000257410575e-05,
            3.0248999792092945e-05,
            2.9582000024674926e-05,
            3.106699932686752e-05,
            3.528000070218695e-05,
            3.489499977149535e-05,
            3.5148999813827686e-05,
            3.463000030023977e-05,
            3.0229999538278207e-05,
            3.024700072273845e-05,
            2.968299941130681e-05,
            3.042899970751023e-05,
            3.601600019464968e-05,
            3.525500051182462e-05,
            3.480499981378671e-05,
            4.019600055471528e-05,
            4.026199985673884e-05,
            3.860600008920301e-05,
            3.8903000131540466e-05,
            6.813100026192842e-05,
            3.799499972956255e-05,
            3.581199962354731e-05,
            3.0464999326795805e-05,
            2.996500006702263e-05,
            2.896999922086252e-05,
            2.9922999601694755e-05,
            3.586799994081957e-05,
            3.607800044846954e-05,
            3.594600002543302e-05,
            3.6202999581291806e-05,
            3.0777000574744307e-05,
            2.999500065925531e-05,
            3.531499987730058e-05,
            3.933099924324779e-05,
            3.5355000363779254e-05,
            5.383099960454274e-05,
            3.6002999877382535e-05,
            3.5447000300337095e-05,
            3.0795000384387095e-05,
            4.026700025860919e-05,
            3.438500061747618e-05,
            3.5587000638770405e-05,
            3.0406999940169044e-05,
            3.0418000278586987e-05,
            2.9180000638007186e-05,
            3.0377000257431064e-05,
            3.555599960236577e-05,
            3.770300008909544e-05,
            3.455300065979827e-05,
            3.506400025798939e-05,
            4.705799983639736e-05,
            3.441400076553691e-05,
            5.4181999985303264e-05,
            4.0408000131719746e-05,
            4.1367999983776826e-05,
            4.653300038626185e-05,
            3.841800025838893e-05,
            3.501399987726472e-05,
            3.068899968639016e-05,
            2.9892000384279527e-05,
            2.929499987658346e-05,
            2.991600013046991e-05,
            3.471299987722887e-05,
            3.5552999179344624e-05,
            3.485999968688702e-05,
            5.226499979471555e-05,
            3.582099998311605e-05,
            3.522399947541999e-05,
            3.479999941191636e-05,
            3.6824999369855504e-05,
            3.5492000279191416e-05,
            3.52870001734118e-05,
            3.069500053243246e-05,
            3.0221000088204164e-05,
            2.9738999728579074e-05,
            3.5772000046563335e-05,
            3.0342000172822736e-05,
            4.7342000470962375e-05,
            3.570200078684138e-05,
            3.565499991964316e-05,
            4.472999989957316e-05,
            3.053500040550716e-05,
            2.997799947479507e-05,
            3.5339000532985665e-05,
            3.511200065986486e-05,
            3.622999975050334e-05,
            3.503199968690751e-05,
            3.52810002368642e-05,
            3.1213000511343125e-05,
            7.627800005138852e-05,
            6.0866000239911955e-05,
            4.734499998448882e-05,
            3.61339998562471e-05,
            3.1752999348100275e-05,
            3.113999991910532e-05,
            3.0205999792087823e-05,
            3.128099979221588e-05,
            3.6593000004359055e-05,
            4.2751999899337534e-05,
            4.198499937047018e-05,
            3.548299991962267e-05,
            3.083200044784462e-05,
            3.1568999474984594e-05,
            3.045900029974291e-05,
            3.114399987680372e-05,
            3.647799985628808e-05,
            5.794700064143399e-05,
            3.500000002532033e-05,
            3.568200008885469e-05,
            4.824500047106994e-05,
            3.1151000257523265e-05,
            3.0281000363174826e-05,
            3.091099915764062e-05,
            3.6046999412064906e-05,
            3.544999981386354e-05,
            3.589300013118191e-05,
            3.568400006770389e-05,
            3.53579998773057e-05,
            3.625499994086567e-05,
            3.568900046957424e-05,
            3.600599939090898e-05,
            3.614100023696665e-05,
            3.576000017346814e-05,
            3.094000021519605e-05,
            0.00011657300001388649,
            4.819700006919447e-05,
            4.720799915958196e-05,
            6.271599977480946e-05,
            3.650500002549961e-05,
            3.5939999179390725e-05,
            4.214100044919178e-05,
            3.088100038439734e-05,
            3.0312000490084756e-05,
            2.9802000426570885e-05,
            3.69099998351885e-05,
            3.6159000046609435e-05,
            3.904000004695263e-05,
            3.7139000596653204e-05,
            3.5879000279237516e-05,
            3.126800038444344e-05,
            3.6515999454422854e-05,
            3.712499983521411e-05,
            3.489899972919375e-05,
            3.594999998313142e-05,
            3.169899991917191e-05,
            3.0780000088270754e-05,
            2.983800004585646e-05,
            3.0995000088296365e-05,
            3.6518000342766754e-05,
            3.647300036391243e-05,
            3.5895000110031106e-05,
            4.8224999773083255e-05,
            3.184300021530362e-05,
            3.108100008830661e-05,
            3.030199968634406e-05,
            3.134300004603574e-05,
            3.639299939095508e-05,
            3.6889000512019265e-05,
            3.527199987729546e-05,
            3.506699977151584e-05,
            3.0703000447829254e-05,
            3.0655000045953784e-05,
            3.06350002574618e-05,
            4.1311000131827313e-05,
            3.934599953936413e-05,
            5.0904999625345226e-05,
            3.5490999835019466e-05,
            3.770400053326739e-05,
            3.658800051198341e-05,
            3.5959000342700165e-05,
            3.5073000617558137e-05,
            3.6518999877444e-05,
            3.616599951783428e-05,
            3.657299930637237e-05,
            4.097700002603233e-05,
            3.0377000257431064e-05,
            2.9968000490043778e-05,
            3.562400070222793e-05,
            3.487899994070176e-05,
            3.6294999517849647e-05,
            3.599499996198574e-05,
            4.597299994202331e-05,
            4.9989999752142467e-05,
            3.066499994019978e-05,
            4.730500040750485e-05,
            3.6329000067780726e-05,
            3.579199983505532e-05,
            3.661799928522669e-05,
            3.56760001523071e-05,
            3.626099987741327e-05,
            3.1075000151759014e-05,
            3.723399913724279e-05,
            4.7745999836479314e-05,
            3.601299977162853e-05,
            3.5695999940799084e-05,
            3.05580006170203e-05,
            3.137600015179487e-05,
            3.045799985557096e-05,
            4.073599939147243e-05,
            3.587099945434602e-05,
            4.412399994180305e-05,
            6.578800002898788e-05,
            3.6332000490801875e-05,
            3.952799943363061e-05,
            3.106300027866382e-05,
            3.0236999918997753e-05,
            3.085099979216466e-05,
            3.5831999412039295e-05,
            5.364099979487946e-05,
            3.534300049068406e-05,
            3.566900068108225e-05,
            3.167000068060588e-05,
            3.088699941145023e-05,
            3.0015999982424546e-05,
            3.0804999369138386e-05,
            3.6125999940850306e-05,
            4.666800032282481e-05,
            3.5180999475414865e-05,
            3.52870001734118e-05,
            3.565099996194476e-05,
            4.294599966669921e-05,
            3.540499983500922e-05,
            3.671400008897763e-05,
            3.6612000258173794e-05,
            3.587100036384072e-05,
            4.575499951897655e-05,
            3.065200053242734e-05,
            3.0280999453680124e-05,
            3.576199924282264e-05,
            3.6070000533072744e-05,
            3.661600021587219e-05,
            3.59819996447186e-05,
            3.6405999708222225e-05,
            3.1348999982583337e-05,
            3.0594000236305874e-05,
            4.767100017488701e-05,
            3.576099970814539e-05,
            3.615100013121264e-05,
            5.1355999858060386e-05,
            3.784299951803405e-05,
            4.267700023774523e-05,
            3.086699962295825e-05,
            3.826199917966733e-05,
            3.360499977134168e-05,
            2.9134999749658164e-05,
            3.071899936912814e-05,
            3.5744000342674553e-05,
            3.630299943324644e-05,
            3.531200036377413e-05,
            3.627099977165926e-05,
            3.7337999856390525e-05,
            3.5867000406142324e-05,
            3.0410000363190193e-05,
            3.0453000363195315e-05,
            3.672500042739557e-05,
            3.6146000638836995e-05,
            3.569900036382023e-05,
            3.601900061767083e-05,
            3.576699964469299e-05,
            3.5490999835019466e-05,
            2.969999968627235e-05,
            3.0512000193994027e-05,
            3.5881000258086715e-05,
            3.599800038500689e-05,
            3.5600000046542846e-05,
            3.653800013125874e-05,
            3.5940999623562675e-05,
            3.525400006765267e-05,
            3.2248999559669755e-05,
            3.236599968658993e-05,
            3.5317999390827026e-05,
            3.6530000215861946e-05,
            3.061799998249626e-05,
            3.1522999961453024e-05,
            4.751800042868126e-05,
            3.5570999898482114e-05,
            3.6517000808089506e-05,
            3.565899987734156e-05,
            3.0684000194014516e-05,
            3.649800055427477e-05,
            4.2270000449207146e-05,
            3.1583999771100935e-05,
            3.6140999327471945e-05,
            3.739299972949084e-05,
            3.6482999348663725e-05,
            3.5695999940799084e-05,
            3.562199981388403e-05,
            3.167500017298153e-05,
            3.0915000024833716e-05,
            3.129099968646187e-05,
            3.62860000677756e-05,
            3.622499934863299e-05,
            3.6238000575394835e-05,
            4.07859997721971e-05,
            3.870999989885604e-05,
            3.5992000448459294e-05,
            3.583699981390964e-05,
            3.258400010963669e-05,
            4.127500051254174e-05,
            3.0516000151692424e-05,
            3.1304999538406264e-05,
            3.7136999708309304e-05,
            3.582299996196525e-05,
            3.602699962357292e-05,
            3.608899987739278e-05,
            3.061700044781901e-05,
            3.0915000024833716e-05,
            4.1524999687680975e-05,
            3.2377000025007874e-05,
            3.654200008895714e-05,
            3.603799996199086e-05,
            6.354899960570037e-05,
            3.50520003848942e-05,
            3.10989998979494e-05,
            3.123199985566316e-05,
            3.0270000024756882e-05,
            3.1104000299819745e-05,
            3.625499994086567e-05,
            3.579100030037807e-05,
            3.584200021577999e-05,
            3.647599987743888e-05,
            3.128299977106508e-05,
            3.6268999792810064e-05,
            3.549600023688981e-05,
            3.6254000406188425e-05,
            3.585699960240163e-05,
            4.285800059733447e-05,
            3.097300032095518e-05,
            3.0371999855560716e-05,
            4.573099977278616e-05,
            3.618199934862787e-05,
            3.503299922158476e-05,
            4.565799918054836e-05,
            3.6299999919719994e-05,
            3.620300049078651e-05,
            3.127099989796989e-05,
            3.0528000024787616e-05,
            3.060200015170267e-05,
            3.6249999538995326e-05,
            3.596699934860226e-05,
            3.7167999835219234e-05,
            3.647300036391243e-05,
            3.8504000258399174e-05,
            3.9988000025914516e-05,
            4.8004999371187296e-05,
            3.591199947550194e-05,
            3.779500002565328e-05,
            5.62190007258323e-05,
            3.6154999179416336e-05,
            3.6344999898574315e-05,
            3.620100051193731e-05,
            3.6796000131289475e-05,
            3.685999945446383e-05,
            3.625600038503762e-05,
            3.551899953890825e-05,
            3.6606999856303446e-05,
            3.215700053260662e-05,
            3.560799996193964e-05,
            3.571900015231222e-05,
            4.6721000217075925e-05,
            3.547799951775232e-05,
            3.0236999918997753e-05,
            3.5568999919632915e-05,
            3.571300021576462e-05,
            3.568200008885469e-05,
            3.4949999644595664e-05,
            3.583900070225354e-05,
            3.523199939081678e-05,
            3.5567999475460965e-05,
            3.0404999961319845e-05,
            3.7445000089064706e-05,
            3.0821999644103926e-05,
            3.616600042732898e-05,
            3.5518000004231e-05,
            3.719500000443077e-05,
            3.629500042734435e-05,
            3.60550002369564e-05,
            3.6082999940845184e-05,
            4.123199960304191e-05,
            3.549599932739511e-05,
            3.8115000279503874e-05,
            4.628199985745596e-05,
            3.2032999115472194e-05,
            4.5686000703426544e-05,
            4.2222000047331676e-05,
            3.095500051131239e-05,
            3.027200000360608e-05,
            3.714000013133045e-05,
            3.159300013066968e-05,
            3.546399966580793e-05,
            3.628899958130205e-05,
            3.649299924290972e-05,
            3.604399989853846e-05,
            3.591599943320034e-05,
            4.876000002695946e-05,
            5.651599985867506e-05,
            4.6240000301622786e-05,
            4.5139000576455146e-05,
            3.901800027961144e-05,
            3.920500057574827e-05,
            3.778399968723534e-05,
            3.8421999306592625e-05,
            6.534800013469066e-05,
            4.53610000477056e-05,
            4.426699979376281e-05,
            4.3791000280180015e-05,
            3.950800055463333e-05,
            3.7820000216015615e-05,
            3.7480000173673034e-05,
            3.8406999919970986e-05,
            5.332899945642566e-05,
            6.14219998169574e-05,
            4.4006000280205626e-05,
            4.449100015335716e-05,
            3.841200032184133e-05,
            3.7447000067913905e-05,
            4.40479998360388e-05,
            4.764299956150353e-05,
            5.094600055599585e-05,
            4.3308999920554925e-05,
            6.665999990218552e-05,
            4.42000000475673e-05,
            3.787700006796513e-05,
            3.895700046996353e-05,
            6.996499996603234e-05,
            4.4716999582306016e-05,
            9.233800028596306e-05,
            4.4779999370803125e-05,
            4.043300032208208e-05,
            5.178199990041321e-05,
            4.3897999603359494e-05,
            3.797099998337217e-05,
            4.4595999497687444e-05,
            5.263599996396806e-05,
            4.505000015342375e-05,
            6.394299998646602e-05,
            4.599499970936449e-05,
            3.790600021602586e-05,
            6.093400043027941e-05,
            4.70690001748153e-05,
            4.43580001956434e-05,
            4.6782000026723836e-05,
            4.4577999688044656e-05,
            4.452299981494434e-05,
            3.999899945483776e-05,
            4.500999966694508e-05,
            4.514200008998159e-05,
            5.007799973100191e-05,
            4.232199989928631e-05,
            3.627899968705606e-05,
            4.6119000217004213e-05,
            5.518400030268822e-05,
            4.3586999709077645e-05,
            7.762000041111605e-05,
            7.827100034774048e-05,
            4.244800038577523e-05,
            5.0656999519560486e-05,
            5.8460000218474306e-05,
            3.6621999242925085e-05,
            3.65229998351424e-05,
            4.634500055544777e-05,
            4.339399947639322e-05,
            4.2936999307130463e-05,
            4.3338000068615656e-05,
            4.2130999645451084e-05,
            3.664399991976097e-05,
            5.779000002803514e-05,
            8.88739996298682e-05,
            4.495499979384476e-05,
            4.655599968828028e-05,
            4.556499970931327e-05,
            4.3600999561022036e-05,
            4.432700006873347e-05,
            6.07189995207591e-05,
            4.597099996317411e-05,
            4.525900021690177e-05,
            4.4813999920734204e-05,
            7.11779994162498e-05,
            5.006199990020832e-05,
            3.920600011042552e-05,
            3.820899928541621e-05,
            4.416600040713092e-05,
            4.492299922276288e-05,
            4.4736999370798e-05,
            7.443699996656505e-05,
            4.5010999201622326e-05,
            6.780199964850908e-05,
            3.788199956034077e-05,
            4.1292999412689824e-05,
            3.720400036399951e-05,
            3.723699956026394e-05,
            4.472500040719751e-05,
            4.725800044980133e-05,
            4.4966999666939955e-05,
            4.49799999842071e-05,
            4.976199943484971e-05,
            4.578100015351083e-05,
            4.729200009023771e-05,
            4.454299960343633e-05,
            4.3465000089781824e-05,
            3.648100027930923e-05,
            3.950300015276298e-05,
            3.858499985653907e-05,
            3.763699987757718e-05,
            4.5525000132329296e-05,
            4.3340000047464855e-05,
            4.2623999433999415e-05,
            4.267100030119764e-05,
            3.65269997928408e-05,
            3.863500023726374e-05,
            3.6808999539061915e-05,
            3.7075999898661394e-05,
            4.3910999920626637e-05,
            4.370599981484702e-05,
            4.258500030118739e-05,
            6.155600021884311e-05,
            4.756399994221283e-05,
            3.944400032196427e-05,
            5.8243999774276745e-05,
            3.6605999412131496e-05,
            5.1793000238831155e-05,
            5.696800053556217e-05,
            5.347600017557852e-05,
            4.3418000132078305e-05,
            4.3742999878304545e-05,
            4.5808000322722364e-05,
            4.414799968799343e-05,
            6.435300019802526e-05,
            4.5513000259234104e-05,
            4.399499994178768e-05,
            3.7942999369988684e-05,
            5.150800006958889e-05,
            3.69059998774901e-05,
            3.716300034284359e-05,
            5.147600040800171e-05,
            4.5150999540055636e-05,
            4.489999992074445e-05,
            5.570299981627613e-05,
            5.555499956244603e-05,
            4.3582000216702e-05,
            3.5955999919679016e-05,
            3.714400008902885e-05,
            6.697599928884301e-05,
            5.131899979460286e-05,
            5.247900026006391e-05,
            4.4025000534020364e-05,
            3.788699996221112e-05,
            4.983999951946316e-05,
            4.674899992096471e-05,
            4.418899970914936e-05,
            5.2409999625524506e-05,
            3.732799996214453e-05,
            3.7459999475686345e-05,
            3.773700063902652e-05,
            4.0922000152932014e-05,
            4.524299947661348e-05,
            4.475799960346194e-05,
            5.2152000534988474e-05,
            4.394300049170852e-05,
            3.7974999941070564e-05,
            4.6608999582531396e-05,
            7.182300032582134e-05,
            5.4759000704507343e-05,
            8.753400015848456e-05,
            4.398300006869249e-05,
            4.367699966678629e-05,
            4.4156999138067476e-05,
            3.852299960271921e-05,
            3.811499937000917e-05,
            3.7103000067872927e-05,
            3.805500000453321e-05,
            4.872000044997549e-05,
            4.464899939193856e-05,
            4.580099994200282e-05,
            6.884600043122191e-05,
            4.503299987845821e-05,
            4.561700006888714e-05,
            4.5042999772704206e-05,
            4.734899994218722e-05,
            4.557800002658041e-05,
            4.557900047075236e-05,
            4.131900004722411e-05,
            3.864900008920813e-05,
            3.700399975059554e-05,
            3.780899987759767e-05,
            5.3685000239056535e-05,
            4.5235000470711384e-05,
            4.51340001745848e-05,
            4.537499989964999e-05,
            3.87700001738267e-05,
            3.817200013145339e-05,
            3.653900057543069e-05,
            4.570100009004818e-05,
            4.42749997091596e-05,
            4.544100011116825e-05,
            4.5509999836212955e-05,
            4.4721999984176364e-05,
            6.126700009190245e-05,
            5.35079998371657e-05,
            4.851399990002392e-05,
            4.5449000026565045e-05,
            4.398100008984329e-05,
            3.986899992014514e-05,
            6.00989997110446e-05,
            3.7185000110184774e-05,
            3.841299985651858e-05,
            4.528699992079055e-05,
            4.3978000576316845e-05,
            4.6144999942043796e-05,
            4.4473999878391623e-05,
            3.829000070254551e-05,
            3.769100021600025e-05,
            3.863100027956534e-05,
            3.8667999433528166e-05,
            4.509299924393417e-05,
            5.611100004898617e-05,
            4.4936999984201975e-05,
            4.4891000470670406e-05,
            3.753700002562255e-05,
            3.861500044877175e-05,
            3.765800011024112e-05,
            3.85450002795551e-05,
            4.798400004801806e-05,
            4.511499992077006e-05,
            4.340600025898311e-05,
            4.452499979379354e-05,
            3.8424999729613774e-05,
            3.9279000702663325e-05,
            4.463000004761852e-05,
            6.443600068450905e-05,
            4.546999934973428e-05,
            5.615400004899129e-05,
            3.9123000533436425e-05,
            3.837999975075945e-05,
            3.74549999833107e-05,
            4.64469994767569e-05,
            6.90950000716839e-05,
            4.54420005553402e-05,
            7.015499977569561e-05,
            4.496200017456431e-05,
            4.111299949727254e-05,
            3.864399968733778e-05,
            4.4813999920734204e-05,
            3.950500013161218e-05,
            4.5012999180471525e-05,
            4.519200047070626e-05,
            5.4859999181644525e-05,
            4.495800021686591e-05,
            3.847300013148924e-05,
            5.350300034479005e-05,
            4.4227000216778833e-05,
            4.6133000068948604e-05,
            3.7075999898661394e-05,
            3.7198999962129164e-05,
            3.810199996223673e-05,
            3.856700004689628e-05,
            4.603500019584317e-05,
            4.537999939202564e-05,
            4.583000009006355e-05,
            3.9026999729685485e-05,
            3.77609994757222e-05,
            3.727900002559181e-05,
            4.486699981498532e-05,
            4.2720000237750355e-05,
            4.4735999836120754e-05,
            4.3558000470511615e-05,
            3.7993000660208054e-05,
            6.800199935241835e-05,
            3.848000051220879e-05,
            5.66099997740821e-05,
            6.87909996486269e-05,
            3.9450000258511864e-05,
            4.6209999709390104e-05,
            4.4235999666852877e-05,
            3.917699996236479e-05,
            3.779300004680408e-05,
            4.508199981501093e-05,
            4.4638999497692566e-05,
            5.510299979505362e-05,
            4.147500021645101e-05,
            4.57539999842993e-05,
            4.507099947659299e-05,
            6.956200013519265e-05,
            3.8750999920011964e-05,
            4.3728000491682906e-05,
            4.2017999476229306e-05,
            4.401099977258127e-05,
            4.0034999983618036e-05,
            5.718200009141583e-05,
            4.515300042839954e-05,
            4.4175999391882215e-05,
            5.671599956258433e-05,
            4.345499928604113e-05,
            4.443400030140765e-05,
            3.9925999772094656e-05,
            3.901800027961144e-05,
            4.556800013233442e-05,
            4.677600009017624e-05,
            8.249400070781121e-05,
            0.031540480999865395,
            0.0019132200004605693,
            0.0018306249994566315,
            0.0019406860001254245,
            0.0019194269998479285,
            0.001955791999534995,
            0.002042261000497092,
            0.0019094870003755204,
            0.0018960299994432717,
            0.0020027970003866358,
            0.001975049999600742,
            0.0019660950001707533,
            0.0018974489994434407,
            0.0019518649996825843,
            0.0019038549999095267,
            0.001960094000423851,
            0.0019593369997892296,
            0.001997271000618639,
            0.00195945900031802,
            0.0018193369996879483,
            0.001940105999892694,
            0.0018760280008791597,
            0.001896024999950896,
            0.0018943420000141487,
            0.0018577889995867736,
            0.00193185700027243,
            0.001876656000604271,
            0.0018778060002659913,
            0.004810426000403822,
            0.001875234999715758,
            0.001898923999760882,
            0.0018919100002676714,
            0.001863022000179626,
            0.0018780820000756648,
            0.0018705949996729032,
            0.0018828180000127759,
            0.001880699999674107,
            0.0019371779999346472,
            0.0019159909998052171,
            0.0018820020004568505,
            0.0018961080004373798,
            0.0019628119998742477,
            0.0022111640000730404,
            0.0018468239995854674,
            0.0018986980003319331,
            0.0019021399994016974,
            0.0018425079997541616,
            0.0019592449998526718,
            0.0018551820003267494,
            0.001827230999879248
        ],
        "test_time": 2.109562989000551
    },
    "logdet_test.py:test_det_logdet_slogdet_xla_float64": {
        "operations": [
            5.0475000534788705e-05,
            5.705400053557241e-05,
            4.719699973065872e-05,
            5.3020000450487714e-05,
            7.506299971282715e-05,
            6.795099943701643e-05,
            3.80709998353268e-05,
            1.8218000150227454e-05,
            2.090299949486507e-05
        ],
        "test_time": 37.41874271500001
    },
    "lstmcell_test.py:test_LSTM_cell_cpu": {
        "operations": [
            0.0005247749995760387,
            0.00019010300002264557
        ],
        "test_time": 0.05082505400059745
    },
    "lstmcell_test.py:test_LSTM_cell_forward_hidden_size_cpu": {
        "operations": [
            0.00020042199957970297
        ],
        "test_time": 0.009919533999891428
    },
    "lstmcell_test.py:test_LSTM_cell_forward_hidden_size_xla": {
        "operations": [
            0.0013303420000738697
        ],
        "test_time": 0.012886703999356541
    },
    "lstmcell_test.py:test_LSTM_cell_forward_input_size_cpu": {
        "operations": [
            0.00017174100048578111
        ],
        "test_time": 0.005079913000372471
    },
    "lstmcell_test.py:test_LSTM_cell_forward_input_size_xla": {
        "operations": [
            0.00021671200011041947
        ],
        "test_time": 0.005803738000395242
    },
    "lstmcell_test.py:test_LSTM_cell_xla": {
        "operations": [
            0.00020785400010936428,
            0.0005116020001878496
        ],
        "test_time": 0.05961392299923318
    },
    "lstmcell_test.py:test_RNN_cell_no_broadcasting_cpu": {
        "operations": [
            0.00018603399985295255,
            0.0002321880001545651,
            0.00016476800010423176,
            0.0001834109998526401,
            0.00017212200054927962,
            0.00017343400031677447
        ],
        "test_time": 0.024351086000024225
    },
    "lstmcell_test.py:test_RNN_cell_no_broadcasting_xla": {
        "operations": [
            0.00020282999957998982,
            0.00018018199989455752,
            0.00017879600000014761,
            0.00018995899972651387,
            0.00021461699998326367,
            0.00018342899966228288
        ],
        "test_time": 0.025408215999959793
    },
    "lstmcell_test.py:test_lstmcell_backward_only_one_output_grad_cpu_float64": {
        "operations": [],
        "test_time": 0.0016419510002378956
    },
    "lstmcell_test.py:test_lstmcell_backward_only_one_output_grad_xla_float64": {
        "operations": [
            0.03315107500020531
        ],
        "test_time": 12.456909194999753
    },
    "lt_test.py:test_lt_cpu": {
        "operations": [
            6.733500049449503e-05,
            5.009000233258121e-06
        ],
        "test_time": 0.0014356949995999457
    },
    "lt_test.py:test_lt_scalar_cpu": {
        "operations": [
            3.3427999369450845e-05,
            8.641000022180378e-06
        ],
        "test_time": 0.0012673639994318364
    },
    "lt_test.py:test_lt_scalar_xla": {
        "operations": [
            0.0004327730002842145,
            3.555999956006417e-05
        ],
        "test_time": 0.039127012999415456
    },
    "lt_test.py:test_lt_xla": {
        "operations": [
            0.000461200999779976,
            1.7398000636603683e-05
        ],
        "test_time": 0.024429390000477724
    },
    "matrix_rank_test.py:test_matrix_rank_atol_cpu_complex128": {
        "operations": [
            0.16397922200030735,
            0.00011743499999283813,
            0.0001795050002328935,
            7.425099920510547e-05,
            0.0001145369997175294,
            4.7965000703698024e-05,
            0.00012782500016328413,
            4.9715000386640895e-05,
            0.00013384300018515205,
            5.6772000789351296e-05,
            0.00010993199975928292,
            5.00150008519995e-05,
            0.00010938699961116072,
            4.9451000450062566e-05,
            0.00010426500011817552,
            4.9063000005844515e-05,
            3.273600032116519e-05,
            9.094000233744737e-06,
            3.7865000194869936e-05,
            8.891000106814317e-06,
            0.00016465899989270838,
            2.794900046865223e-05,
            4.38940005551558e-05,
            8.820999937597662e-06,
            3.264199949626345e-05,
            8.18900025478797e-06,
            3.0481999601761345e-05,
            8.300999979837798e-06,
            4.626800000551157e-05,
            8.687999979883898e-06,
            2.5305999770353083e-05,
            8.019999768293928e-06,
            3.0230999982450157e-05,
            8.018000698939431e-06,
            0.00021776299945486244,
            0.00012891200003650738,
            0.00020886800029984443,
            0.00013033100003667641,
            0.00018742799966275925,
            0.00013226099963503657,
            0.00018942400038213236,
            0.00012561499988805735,
            0.00018631799957802286,
            0.00012517899995145854,
            0.00019917400004487718,
            0.00012686500031122705,
            0.00018434799949318403,
            0.00012519600022642408,
            0.00018202299997938098,
            0.00012438500016287435,
            0.00018564499987405725,
            0.00012672699995164294,
            0.0002457629998389166,
            0.0001260149992958759,
            0.00015560799965896877,
            9.354099984193454e-05,
            0.00015806000010343269,
            9.330899956694338e-05,
            0.00014991399984864984,
            9.336299990536645e-05,
            0.00015057099972182186,
            9.347699960926548e-05,
            0.00017103800018958282,
            9.666900041338522e-05,
            0.0001493660001870012,
            9.297399992647115e-05,
            0.00015830500069569098,
            9.314599992649164e-05,
            0.00015079300010256702,
            9.411700011696666e-05
        ],
        "test_time": 0.18724740600009682
    },
    "matrix_rank_test.py:test_matrix_rank_atol_cpu_complex64": {
        "operations": [
            0.12961721000010584,
            9.605000013834797e-05,
            0.00012564300050144084,
            5.863600017619319e-05,
            0.00011405400073272176,
            4.9710999519447796e-05,
            0.000113531999886618,
            5.012700057704933e-05,
            0.00013975500041851774,
            0.00010427800043544266,
            0.00011221000022487715,
            4.95550002597156e-05,
            0.00013826400027028285,
            8.678999984113034e-05,
            0.0001104160000977572,
            5.083399992145132e-05,
            1.7640999431023374e-05,
            8.979999620351009e-06,
            3.684900002554059e-05,
            8.848000106809195e-06,
            3.171800017298665e-05,
            8.396999874094035e-06,
            3.2371999623137526e-05,
            8.18900025478797e-06,
            3.087599998252699e-05,
            7.964000360516366e-06,
            3.071999981330009e-05,
            8.280000656668562e-06,
            2.9756000003544614e-05,
            7.887000720074866e-06,
            2.604099972813856e-05,
            8.311000783578493e-06,
            3.477399968687678e-05,
            8.277000233647414e-06,
            0.0002466299993102439,
            0.00013288099944475107,
            0.00020032100019307109,
            0.00012140300077589927,
            0.0001862440003606025,
            0.00012088400035281666,
            0.00018762299987429287,
            0.0001287889999730396,
            0.0001867280006990768,
            0.00015145199995458825,
            0.00019712299945240375,
            0.00012360700020508375,
            0.00018629100031830603,
            0.00011892100064869737,
            0.00018280499989486998,
            0.00011905100018338999,
            0.00024406400007137563,
            0.0001151589995060931,
            0.016650009000841237,
            0.00012132299980294192,
            0.00016240500008279923,
            8.721700032765511e-05,
            0.00017087099968193797,
            9.155899988400051e-05,
            0.0002172170006815577,
            0.00012045699986629188,
            0.00015421500029333401,
            9.167499956674874e-05,
            0.00015737400008219993,
            9.227299960912205e-05,
            0.00015627599987055873,
            9.197500003210735e-05,
            0.00015161200008151354,
            9.11229999474017e-05,
            0.0001556490005896194,
            8.747100036998745e-05
        ],
        "test_time": 0.1676176929995563
    },
    "matrix_rank_test.py:test_matrix_rank_atol_cpu_float32": {
        "operations": [
            0.0014326930004244787,
            7.730800007266225e-05,
            0.00012153199986641994,
            4.620200070348801e-05,
            0.00012487200001487508,
            4.905200057692127e-05,
            0.00010815499990712851,
            4.7807000555621926e-05,
            0.00010664100045687519,
            4.856799932895228e-05,
            0.0001575859996592044,
            5.111399968882324e-05,
            0.00010883399954764172,
            4.8208999942289665e-05,
            0.00012971400064998306,
            7.376899975497508e-05,
            1.7407999621354975e-05,
            9.092000254895538e-06,
            3.778999962378293e-05,
            8.896000508684665e-06,
            3.108300006715581e-05,
            8.623999747214839e-06,
            3.053399996133521e-05,
            8.295000043290202e-06,
            2.991700057464186e-05,
            8.102999345283024e-06,
            3.094400017289445e-05,
            8.477999472233932e-06,
            3.0017000426596496e-05,
            8.429999979853164e-06,
            2.3069000235409476e-05,
            8.06499974714825e-06,
            2.9291999453562312e-05,
            8.265000360552222e-06,
            0.00016575999961787602,
            0.00011449799967522267,
            0.00017449999995733378,
            0.00010409999958937988,
            0.00017002900040097302,
            0.00012328699995123316,
            0.0001713760002530762,
            0.00010804599969560513,
            0.00017079700046451762,
            0.00010844500047824113,
            0.00018389500019111438,
            0.00010955800007650396,
            0.00017317599940724904,
            0.00010811699939949904,
            0.000167438999596925,
            0.00010805100009747548,
            0.00023414099996443838,
            0.0001368690000163042,
            0.0002292399994985317,
            0.0001406700002917205,
            0.00014727899997524219,
            9.013900034915423e-05,
            0.00014629300039814552,
            8.28910006021033e-05,
            0.00015697100025136024,
            8.285100011562463e-05,
            0.0001779790000000503,
            8.200299998861738e-05,
            0.00014421099967876216,
            0.00010087300051964121,
            0.00015149499995459337,
            8.776199956628261e-05,
            0.0001393290003761649,
            8.269000045402208e-05,
            0.00014840699986962136,
            7.868000011512777e-05
        ],
        "test_time": 0.02117542200085154
    },
    "matrix_rank_test.py:test_matrix_rank_atol_cpu_float64": {
        "operations": [
            9.97909992292989e-05,
            4.913500015391037e-05,
            0.00011257999994995771,
            4.843300030188402e-05,
            0.0001041470004565781,
            4.3927999286097474e-05,
            0.00010408100024505984,
            4.7700000322947744e-05,
            0.00014024300071469042,
            6.207899969012942e-05,
            0.00010718199973780429,
            4.75349997941521e-05,
            0.00014269500024965964,
            6.446299994422588e-05,
            0.00010103600016009295,
            4.789200011146022e-05,
            1.7405000107828528e-05,
            8.48400031827623e-06,
            3.520700010994915e-05,
            8.949999937613029e-06,
            2.9979999453644268e-05,
            8.239999260695186e-06,
            2.9056000130367465e-05,
            8.00500038167229e-06,
            3.216599998268066e-05,
            8.271999831777066e-06,
            2.8931999622727744e-05,
            8.083000466285739e-06,
            2.8820999432355165e-05,
            7.84900021244539e-06,
            2.3313999918173067e-05,
            7.882999852881767e-06,
            3.166900023643393e-05,
            8.27999974717386e-06,
            0.00018106999959854875,
            0.00010619400018185843,
            0.00016612499985058093,
            0.00010238499999104533,
            0.00017068600027414504,
            9.834899992711144e-05,
            0.00016243100071733352,
            0.00010130400005436968,
            0.00016241299999819603,
            0.0001485940001657582,
            0.00017168299928016495,
            0.00010032800037151901,
            0.00016272099946945673,
            0.00010080500032927375,
            0.0001581169999553822,
            0.00010044000009656884,
            0.00027439999939815607,
            0.0001382529999318649,
            0.00016967499959719134,
            0.00011891500071214978,
            0.00014127300073596416,
            8.222599990403978e-05,
            0.0001586519992997637,
            7.922399981907802e-05,
            0.00015211799927783431,
            8.6068000200612e-05,
            0.00013952599965705303,
            8.20340001155273e-05,
            0.0001399080001647235,
            8.238099962909473e-05,
            0.00013875199965696083,
            8.208599956560647e-05,
            0.00013722800031246152,
            8.195800000976305e-05,
            0.0001402770003551268,
            8.311300007335376e-05
        ],
        "test_time": 0.019167391999872052
    },
    "matrix_rank_test.py:test_matrix_rank_atol_rtol_cpu_float64": {
        "operations": [
            8.359699950233335e-05,
            6.874299924675142e-05,
            5.918500028201379e-05,
            5.914000030315947e-05,
            7.24970004739589e-05,
            5.679400055669248e-05
        ],
        "test_time": 0.002095824000207358
    },
    "matrix_rank_test.py:test_matrix_rank_atol_rtol_xla_float64": {
        "operations": [
            0.04136086499966041,
            0.007464235000043118,
            0.006500444000266725,
            0.005586055000094348,
            0.007015010000031907,
            0.006254754000110552
        ],
        "test_time": 6.427289616000053
    },
    "matrix_rank_test.py:test_matrix_rank_atol_xla_complex128": {
        "operations": [
            0.027713728999515297,
            0.0052239990000089165,
            0.008793943999990006,
            0.0056568889995105565,
            0.009558031999404193,
            0.005953439999757393,
            0.008819340999252745,
            0.00679046000004746,
            0.009513448999314278,
            0.006036998999661591,
            0.009577888999956485,
            0.006419459999960964,
            0.008789684000475972,
            0.006635469999309862,
            0.0084134519993313,
            0.00604088000000047,
            0.002193091999288299,
            5.1607000386866275e-05,
            0.002813846999742964,
            5.750199943577172e-05,
            0.0020712830000775284,
            3.7945000258332584e-05,
            0.0015009090002422454,
            3.705499966599746e-05,
            0.0014392169996426674,
            3.927099987777183e-05,
            0.0014679129999422003,
            3.807200027949875e-05,
            0.0016279419996862998,
            3.7105000046722125e-05,
            0.0016162980000444804,
            4.3480999920575414e-05,
            0.0014888140003677108,
            3.6962999729439616e-05,
            0.06943256399972597,
            0.0057451000002402,
            0.007841595999707351,
            0.005690438999408798,
            0.00997114599977067,
            0.006111577000410762,
            0.0096895439992295,
            0.006223432999831857,
            0.01084358499974769,
            0.0072729329995127046,
            0.01002157599941711,
            0.006710972000291804,
            0.009180844999718829,
            0.006397511999239214,
            0.009732036000059452,
            0.006798920999244729,
            0.008966849999524129,
            0.006496658000287425,
            0.04297046700048668,
            0.006016657000145642,
            0.0073430089996691095,
            0.00641387100040447,
            0.00938645499991253,
            0.006855111000731995,
            0.010162010000385635,
            0.0077629480001633056,
            0.010032252999735647,
            0.007373241000095732,
            0.011202089000107662,
            0.005349815000045055,
            0.009704455999781203,
            0.006390724000084447,
            0.010545748999902571,
            0.007225434000247333,
            0.009606599000107963,
            0.0070006400001147995
        ],
        "test_time": 584.0349782389994
    },
    "matrix_rank_test.py:test_matrix_rank_atol_xla_complex64": {
        "operations": [
            0.006301378999523877,
            0.005005295000046317,
            0.009581090999745356,
            0.040769948000161094,
            0.009733232999678876,
            0.0074692469997899025,
            0.008377155999369279,
            0.006528163999973913,
            0.009104099000069255,
            0.006485115999566915,
            0.007929100999717775,
            0.007515002999753051,
            0.009364722999634978,
            0.006852643999991415,
            0.009077448999960325,
            0.0064618630003678845,
            7.496699981857091e-05,
            2.850600048986962e-05,
            0.0030830089999653865,
            3.5353000384930056e-05,
            0.0015510029998040409,
            4.1402000533707906e-05,
            0.0014515319999190979,
            4.614200042851735e-05,
            0.001788583999768889,
            4.0361999708693475e-05,
            0.0014778629993088543,
            3.7992000216036104e-05,
            0.0015546800004813122,
            3.8813000173831824e-05,
            0.0014738620002390235,
            4.0795000131765846e-05,
            0.0016822859997773776,
            3.7272999179549515e-05,
            0.007324451000386034,
            0.005919051000091713,
            0.008124040999973658,
            0.005549704000259226,
            0.0091390509996927,
            0.006023147000632889,
            0.010049962000266532,
            0.005690338000022166,
            0.00922270200044295,
            0.006949521000024106,
            0.009661009999945236,
            0.006431173999772,
            0.009100720000787987,
            0.0060566020001715515,
            0.00948958400022093,
            0.006719128000440833,
            0.008990952000203833,
            0.00651230299990857,
            0.006870382000670361,
            0.005297044000144524,
            0.008213348000026599,
            0.006761495000318973,
            0.01007994400060852,
            0.006522825000502053,
            0.008542843000213907,
            0.007308868999643892,
            0.009065682999789715,
            0.006486757999482506,
            0.008946891000050528,
            0.0077555830002893344,
            0.008905788000447501,
            0.006765869000446401,
            0.009548024000650912,
            0.007041383999421669,
            0.010037571999419015,
            0.0074228620005669654
        ],
        "test_time": 613.1950655610008
    },
    "matrix_rank_test.py:test_matrix_rank_atol_xla_float32": {
        "operations": [
            7.294647495999925,
            0.007612177000737574,
            0.02876498699970398,
            0.005566226000155439,
            0.009208260999912454,
            0.007227250999676471,
            0.009413458999915747,
            0.006630002000747481,
            0.009652507999817317,
            0.007339820000197506,
            0.009120867000092403,
            0.006362384000567545,
            0.009921549999489798,
            0.0068167700001140474,
            0.010124639999958163,
            0.0072416599996358855,
            7.843499952286948e-05,
            2.622600004542619e-05,
            0.001937330999680853,
            3.9132999518187717e-05,
            0.0015205499994408456,
            3.835000006802147e-05,
            0.001617961999727413,
            3.801399998337729e-05,
            0.0017304519997196621,
            3.598500006773975e-05,
            0.001513786000032269,
            4.0099000216287095e-05,
            0.0015015779999885126,
            3.914399985660566e-05,
            0.0017713869992803666,
            3.768300030060345e-05,
            0.0016829030000735656,
            3.7832000089110807e-05,
            8.668012432000069,
            0.007910252999863587,
            0.03095482900062052,
            0.0072143850002248655,
            0.010380194000390475,
            0.0060505189994728426,
            0.008978437000223494,
            0.006308505999186309,
            0.009283286999561824,
            0.006706758000291302,
            0.010360190000028524,
            0.007503521000217006,
            0.009380466000038723,
            0.006817899999987276,
            0.009434681000129785,
            0.006597612999939884,
            0.008218463999583037,
            0.006196983000336331,
            7.762165720000667,
            0.008632336000118812,
            0.034734116999970865,
            0.007139004000237037,
            0.00901263600007951,
            0.006624914999520115,
            0.010157001999687054,
            0.010343845000534202,
            0.010600704999887967,
            0.007068081999932474,
            0.009400898999956553,
            0.006930044999535312,
            0.01094728899988695,
            0.0071467999996457365,
            0.010490157000276668,
            0.007061545000397018,
            0.010381086999586842,
            0.006747612999788544
        ],
        "test_time": 700.6716591949998
    },
    "matrix_rank_test.py:test_matrix_rank_atol_xla_float64": {
        "operations": [
            8.073001257000215,
            0.008486119000735926,
            0.008916077999856498,
            0.0064144809994104435,
            0.009588913999323267,
            0.0062800690002404735,
            0.008656903999508359,
            0.006886019999910786,
            0.008414752999669872,
            0.006857007000689919,
            0.009093934000702575,
            0.006579029999556951,
            0.009244718000445573,
            0.006896149000567675,
            0.009411023999746249,
            0.006846291999863752,
            7.865799943829188e-05,
            2.991800010931911e-05,
            0.001686966000306711,
            4.051999985676957e-05,
            0.0015703579992987216,
            4.0179000279749744e-05,
            0.0017927360004250659,
            4.4067000089853536e-05,
            0.0017424060006305808,
            3.763499989872798e-05,
            0.0016820119999465533,
            3.601299977162853e-05,
            0.0015270590001819073,
            3.6964000173611566e-05,
            0.0014730659995620954,
            3.798000034294091e-05,
            0.001661270999647968,
            3.9151999772002455e-05,
            8.36472816100013,
            0.009089682000194443,
            0.008770268999796826,
            0.005943244000263803,
            0.009464343000217923,
            0.006228760000340117,
            0.010065024999676098,
            0.006166424999719311,
            0.009803527999793005,
            0.0071806389996709186,
            0.009847723000348196,
            0.006688684000437206,
            0.009877991999928781,
            0.006075891999898886,
            0.009735155999806011,
            0.006705961999614374,
            0.009524722999231017,
            0.006740474000253016,
            8.255425528999695,
            0.008351626999683504,
            0.010028218999650562,
            0.0066618760001802,
            0.009301196000706113,
            0.005938317999607534,
            0.010300087999894458,
            0.007937696000226424,
            0.01057431900062511,
            0.006366335000166146,
            0.009564889000102994,
            0.008599343000241788,
            0.009620195000024978,
            0.006916149000062433,
            0.01046898299955501,
            0.006383289000041259,
            0.010478877999958058,
            0.008105773000352201
        ],
        "test_time": 737.4554123539992
    },
    "matrix_rank_test.py:test_matrix_rank_basic_cpu_complex128": {
        "operations": [
            9.580599999026163e-05,
            0.00021599999945465242,
            8.228600017901044e-05,
            8.198199975595344e-05
        ],
        "test_time": 0.0018713599993134267
    },
    "matrix_rank_test.py:test_matrix_rank_basic_cpu_complex64": {
        "operations": [
            9.944100020220503e-05,
            9.000699992611771e-05,
            6.33629997537355e-05,
            6.23400001131813e-05
        ],
        "test_time": 0.0014721569996254402
    },
    "matrix_rank_test.py:test_matrix_rank_basic_cpu_float32": {
        "operations": [
            9.873499948298559e-05,
            6.423500053642783e-05,
            6.382399988069665e-05,
            6.292399939411553e-05
        ],
        "test_time": 0.0014675719994556857
    },
    "matrix_rank_test.py:test_matrix_rank_basic_cpu_float64": {
        "operations": [
            9.32180000745575e-05,
            6.059699990146328e-05,
            5.854599930898985e-05,
            5.801499992230674e-05
        ],
        "test_time": 0.0014444859998548054
    },
    "matrix_rank_test.py:test_matrix_rank_basic_xla_complex128": {
        "operations": [
            0.11130419599976449,
            0.1433713970000099,
            0.05931921000046714,
            0.07360842299931392
        ],
        "test_time": 0.3906230760003382
    },
    "matrix_rank_test.py:test_matrix_rank_basic_xla_complex64": {
        "operations": [
            0.010207377999904566,
            0.00783845099977043,
            0.0070734989994889474,
            0.006747491999703925
        ],
        "test_time": 0.033664876999864646
    },
    "matrix_rank_test.py:test_matrix_rank_basic_xla_float32": {
        "operations": [
            0.04135117799978616,
            0.03988587300045765,
            0.04635512799995922,
            0.04453203399953054
        ],
        "test_time": 0.17416801399940596
    },
    "matrix_rank_test.py:test_matrix_rank_basic_xla_float64": {
        "operations": [
            0.007576400999823818,
            0.032818906999636965,
            0.008181662000424694,
            0.008302770999762288
        ],
        "test_time": 0.05876041000010446
    },
    "matrix_rank_test.py:test_matrix_rank_cpu_complex128": {
        "operations": [
            0.00010228600058326265,
            0.00013720700007979758,
            7.224599994515302e-05,
            6.981600017752498e-05,
            0.00016799900004116353,
            9.374799992656335e-05,
            0.00013130499974067789,
            0.00010840100003406405,
            0.00011071300014009466,
            8.694700045452919e-05,
            1.5550999705737922e-05,
            2.1333999939088244e-05,
            1.1874999472638592e-05,
            7.546000233560335e-06,
            1.0384999768575653e-05,
            7.225999979709741e-06,
            1.6471999515488278e-05,
            1.5456000255653635e-05,
            1.85310000233585e-05,
            1.5218000044114888e-05,
            0.0001781290002327296,
            0.0001571220000187168,
            0.00028352499975881074,
            0.00019506599983287742,
            0.0002775129996734904,
            0.00018668499978957698,
            0.0002505090005797683,
            0.0002450120000503375,
            0.00018763199932436692,
            0.00023296099971048534,
            0.0001884119992610067,
            0.00019111999972665217,
            0.0007233300002553733,
            0.0003726639997694292,
            0.0001672730004429468,
            0.00011761299992940621,
            0.0002036400001088623,
            0.0005573019998337259,
            0.0003453999997873325,
            0.00020404400038387394
        ],
        "test_time": 0.24657138700058567
    },
    "matrix_rank_test.py:test_matrix_rank_cpu_complex64": {
        "operations": [
            0.00013767400014330633,
            0.00010796199967444409,
            8.532900028512813e-05,
            9.760000011738157e-05,
            0.00013660300010087667,
            7.547600034740753e-05,
            0.00011059900043619564,
            0.00010063599984277971,
            0.00011929700031032553,
            9.067100018000929e-05,
            1.4696000107505824e-05,
            1.7612000192457344e-05,
            1.1549999726412352e-05,
            7.231000381580088e-06,
            1.0230000043520704e-05,
            7.2939992605824955e-06,
            1.747799979057163e-05,
            1.5827000424906146e-05,
            1.7344999832857866e-05,
            1.4916000509401783e-05,
            0.00020011200012959307,
            0.000167733000125736,
            0.00026566099950287025,
            0.00017639399993640836,
            0.00022002400055498583,
            0.00015232900022965623,
            0.00024011700043047313,
            0.00024570999994466547,
            0.00021806299992022105,
            0.00023478000002796762,
            0.000189848000445636,
            0.00018960000033985125,
            0.000488804000269738,
            0.00027666900041367626,
            0.0001619320000827429,
            0.0001326040001004003,
            0.00020326400044723414,
            0.0004947449997416697,
            0.0003311649998067878,
            0.00021437099985632813
        ],
        "test_time": 0.0544164519997139
    },
    "matrix_rank_test.py:test_matrix_rank_cpu_float32": {
        "operations": [
            0.0001340690005235956,
            7.687099969189148e-05,
            0.00011386300047888653,
            6.558799941558391e-05,
            0.0001988100002563442,
            7.890100005170098e-05,
            0.00010503100020287093,
            0.00010109300001204247,
            0.00010617499992804369,
            9.184099963022163e-05,
            1.4772000213270076e-05,
            1.2702999811153859e-05,
            1.0751999980129767e-05,
            7.245000233524479e-06,
            1.0024999937741086e-05,
            7.069999810482841e-06,
            1.6459999642393086e-05,
            1.645700012886664e-05,
            1.7472000763518736e-05,
            1.5495999832637608e-05,
            0.00016054199932113988,
            0.00012682000033237273,
            0.0002193020000049728,
            0.00015866499961703084,
            0.00019168099970556796,
            0.0001613099993846845,
            0.00022629700015386334,
            0.00020700899949588347,
            0.00017745199966157088,
            0.00021034099972894182,
            0.00016924300052778563,
            0.00015627199991286034,
            0.0004094260002602823,
            0.0002371520004089689,
            0.00014594700041925535,
            0.00010894000024563866,
            0.00021025400019425433,
            0.00042876799943769583,
            0.00027996100016025594,
            0.00019427900042501278
        ],
        "test_time": 0.08215171499978169
    },
    "matrix_rank_test.py:test_matrix_rank_cpu_float64": {
        "operations": [
            0.0001317610003752634,
            7.331699998758268e-05,
            8.085999979812186e-05,
            7.841199931135634e-05,
            0.00014844900033494923,
            8.511899977747817e-05,
            0.00011675199948513182,
            0.00013815399961458752,
            0.00012729999980365392,
            0.0001061550001395517,
            1.9117999727313872e-05,
            1.806599993869895e-05,
            1.5489999896090012e-05,
            1.098099983209977e-05,
            1.4449999980570283e-05,
            1.076399985322496e-05,
            2.067600053123897e-05,
            1.9031999727303628e-05,
            2.196199966419954e-05,
            1.9799999790848233e-05,
            0.00020399200002430007,
            0.00014960400039853994,
            0.00024337499962712172,
            0.00016076799965958344,
            0.00018467200061422773,
            0.00013948600008006906,
            0.00019791999966400908,
            0.0002175720001105219,
            0.0001755779994709883,
            0.00019376399995962856,
            0.00021694699989893707,
            0.0001597380005478044,
            0.0003900760002579773,
            0.00027903899990633363,
            0.00018483899930288317,
            0.00010783199923025677,
            0.00019122499998047715,
            0.00040289299977303017,
            0.0003124289996776497,
            0.0001822909998736577
        ],
        "test_time": 0.018543489999501617
    },
    "matrix_rank_test.py:test_matrix_rank_empty_cpu_complex128": {
        "operations": [
            2.6824000087799504e-05,
            3.1642999601899646e-05,
            1.4860999726806767e-05,
            1.1432999599492177e-05,
            1.3652999768964946e-05,
            1.0744000064732973e-05,
            1.5940000594127923e-05,
            1.5131999134609941e-05,
            1.386399981129216e-05,
            1.3582000065071043e-05,
            2.08609999390319e-05,
            1.367999993817648e-05,
            1.203600004373584e-05,
            8.663800053909654e-05,
            7.440700028382707e-05,
            1.5939000149955973e-05,
            1.3042000318819191e-05,
            1.2932000572618563e-05,
            1.511999926151475e-05,
            2.3545999283669516e-05,
            7.494599958590697e-05,
            9.370600037073018e-05,
            1.701299970591208e-05,
            1.0511999789741822e-05,
            1.4878000001772307e-05,
            7.522700070694555e-05,
            8.494699977745768e-05,
            1.735199930408271e-05,
            2.330900042579742e-05,
            1.785400036169449e-05,
            1.2528999832284171e-05,
            1.546099974802928e-05,
            1.1565000022528693e-05,
            2.1234999621810857e-05,
            1.4862999705655966e-05,
            1.4487000044027809e-05,
            1.588099985383451e-05,
            2.2343000637192745e-05,
            1.6402999790443573e-05,
            1.2276000234123785e-05,
            0.00011757599986594869,
            8.400500064453809e-05,
            1.7115999980887864e-05,
            1.5320000784413423e-05,
            1.403599981131265e-05,
            1.6076999600045383e-05,
            2.3880000298959203e-05,
            9.094399956666166e-05,
            8.19570004750858e-05,
            1.9014999452338088e-05,
            1.342899940937059e-05,
            1.6789000255812425e-05,
            8.958899979916168e-05,
            9.680699986347463e-05,
            1.7202999515575357e-05,
            2.5338000341434963e-05,
            1.6226999832724687e-05,
            1.1795999853347894e-05,
            1.5251000149874017e-05,
            1.1684000128298067e-05,
            1.6438000784546603e-05,
            1.4391000149771571e-05,
            1.4154000382404774e-05,
            1.5376000192190986e-05,
            2.273700010846369e-05,
            1.3688000763067976e-05,
            9.748000593390316e-06,
            9.675000001152512e-05,
            7.548600024165353e-05,
            1.3820999811287038e-05,
            1.1744999937945977e-05,
            1.1940000149479602e-05,
            1.2335000064922497e-05,
            1.933800012920983e-05,
            8.278299992525717e-05,
            8.286599950224627e-05,
            1.3777999811281916e-05,
            9.092999789572787e-06,
            1.4940999790269416e-05,
            9.816000056162011e-05,
            8.527299996785587e-05
        ],
        "test_time": 0.01250500900005136
    },
    "matrix_rank_test.py:test_matrix_rank_empty_cpu_complex64": {
        "operations": [
            2.137100000254577e-05,
            2.149900046788389e-05,
            1.0245999874314293e-05,
            7.245999768201727e-06,
            9.397000212629791e-06,
            6.472999302786775e-06,
            1.1390000508981757e-05,
            9.169999430014286e-06,
            9.947999387804884e-06,
            9.359000614495017e-06,
            1.5656999494240154e-05,
            8.998999874165747e-06,
            6.557000233442523e-06,
            7.245800043165218e-05,
            0.0001044509999701404,
            1.50399991980521e-05,
            8.973999683803413e-06,
            9.436000254936516e-06,
            1.0705000022426248e-05,
            1.716899987513898e-05,
            8.810400049696909e-05,
            5.592400066234404e-05,
            1.0859000212803949e-05,
            6.6530001276987605e-06,
            1.0514999303268269e-05,
            6.232200030353852e-05,
            6.842000038886908e-05,
            1.313499979005428e-05,
            1.6976000551949255e-05,
            1.1577999430301134e-05,
            7.32100033928873e-06,
            1.0888999895541929e-05,
            7.4299996413174085e-06,
            1.0885000847338233e-05,
            9.413999578100629e-06,
            9.641000360716134e-06,
            1.0153999937756453e-05,
            1.558800067869015e-05,
            1.5250000615196768e-05,
            1.0218000170425512e-05,
            0.00010155299969483167,
            8.381000043300446e-05,
            1.3179999768908601e-05,
            9.696999768493697e-06,
            9.64700029726373e-06,
            1.1239999366807751e-05,
            1.738399987516459e-05,
            9.207099992636358e-05,
            7.814400032657431e-05,
            1.3173999832361005e-05,
            7.573999937449116e-06,
            1.1073999303334858e-05,
            7.227100013551535e-05,
            8.736199924896937e-05,
            1.3937999938207213e-05,
            1.72159998328425e-05,
            1.1206999261048622e-05,
            9.394999324285891e-06,
            1.1287999768683221e-05,
            7.657999958610162e-06,
            1.1262999578320887e-05,
            9.78600019152509e-06,
            9.761000001162756e-06,
            1.0280999958922621e-05,
            1.541299934615381e-05,
            1.1799000276369043e-05,
            7.312999514397234e-06,
            8.689999958733097e-05,
            7.077700047375401e-05,
            1.2956000318808947e-05,
            1.0269000085827429e-05,
            9.811999916564673e-06,
            1.1514000107126776e-05,
            1.734200031933142e-05,
            8.412799979851115e-05,
            6.830100028309971e-05,
            1.3342999409360345e-05,
            7.934000677778386e-06,
            1.1238000297453254e-05,
            8.113300009426894e-05,
            8.258199977717595e-05
        ],
        "test_time": 0.009564487999341509
    },
    "matrix_rank_test.py:test_matrix_rank_empty_cpu_float32": {
        "operations": [
            2.1682999431504868e-05,
            1.6242000128841028e-05,
            9.977999980037566e-06,
            6.880000000819564e-06,
            9.238000529876444e-06,
            6.72999976814026e-06,
            1.0920999557129107e-05,
            1.043700012814952e-05,
            9.067999599210452e-06,
            9.587000022293068e-06,
            1.1342999641783535e-05,
            8.588999662606511e-06,
            6.488000508397818e-06,
            7.28169998183148e-05,
            5.649499962601112e-05,
            1.147700004366925e-05,
            8.613999852968846e-06,
            9.622000106901396e-06,
            1.0043000656878576e-05,
            1.1985999663011171e-05,
            6.396200024028076e-05,
            5.313300061970949e-05,
            1.0562999705143739e-05,
            6.450000000768341e-06,
            9.936000424204394e-06,
            6.031799966876861e-05,
            6.21210001554573e-05,
            1.3577000572695397e-05,
            1.2651999895751942e-05,
            1.073400017048698e-05,
            7.380000170087442e-06,
            1.054499989550095e-05,
            7.1650001700618304e-06,
            1.1137999536003917e-05,
            9.344999853055924e-06,
            9.614000191504601e-06,
            9.802999556995928e-06,
            1.1229999472561758e-05,
            1.0493000445421785e-05,
            7.3460005296510644e-06,
            9.045299975696253e-05,
            9.21259997994639e-05,
            1.826599964260822e-05,
            1.0212999768555164e-05,
            9.81900029728422e-06,
            1.136799983214587e-05,
            1.2599999536178075e-05,
            7.513199943787185e-05,
            7.063000066409586e-05,
            1.6744999811635353e-05,
            9.64599985309178e-06,
            2.4732000383664854e-05,
            7.277599979715887e-05,
            7.361999996646773e-05,
            1.287500072066905e-05,
            1.2464999599615112e-05,
            1.1318999895593151e-05,
            7.1619997470406815e-06,
            1.043900010699872e-05,
            7.146999450924341e-06,
            1.0914000085904263e-05,
            9.624999620427843e-06,
            9.673999556980561e-06,
            1.014500048768241e-05,
            1.1610000001383014e-05,
            1.0436999218654819e-05,
            7.331999768211972e-06,
            8.558900026400806e-05,
            8.022600013646297e-05,
            1.281000004382804e-05,
            1.0097999620484188e-05,
            9.83300014922861e-06,
            1.1089999134128448e-05,
            1.2477000382205006e-05,
            8.149399945978075e-05,
            6.706000021949876e-05,
            1.2178999895695597e-05,
            7.27199949324131e-06,
            1.149099989561364e-05,
            0.00010164000013901386,
            8.341700049641076e-05
        ],
        "test_time": 0.009136497000326926
    },
    "matrix_rank_test.py:test_matrix_rank_empty_cpu_float64": {
        "operations": [
            2.2199999875738285e-05,
            1.626900029805256e-05,
            1.048500053002499e-05,
            7.255000127770472e-06,
            9.297999895352405e-06,
            6.795999979658518e-06,
            1.094799972634064e-05,
            8.819999493425712e-06,
            8.912000339478254e-06,
            9.168999895337038e-06,
            1.1178999557159841e-05,
            9.342999874206726e-06,
            6.446999577747192e-06,
            6.89329999659094e-05,
            5.331800002750242e-05,
            1.1204999282199424e-05,
            9.835000128077809e-06,
            8.709999747225083e-06,
            1.0316000043530948e-05,
            1.262600017071236e-05,
            5.961199985904386e-05,
            4.9871000555867795e-05,
            1.1092999557149597e-05,
            6.530999598908238e-06,
            1.0071999895444605e-05,
            6.254699928831542e-05,
            6.153000049380353e-05,
            1.3135999324731529e-05,
            1.2701999366981909e-05,
            1.0986999768647365e-05,
            7.110999831638765e-06,
            1.0502999430173077e-05,
            7.25900008546887e-06,
            1.1470000572444405e-05,
            9.655999747337773e-06,
            9.631000466470141e-06,
            1.0724999810918234e-05,
            1.2177999451523647e-05,
            1.0648999705153983e-05,
            7.464000191248488e-06,
            7.215499954327242e-05,
            5.794499975309009e-05,
            1.2547999176604208e-05,
            1.4053999620955437e-05,
            1.2762999176629819e-05,
            1.47319997267914e-05,
            2.571099958004197e-05,
            6.743599988112692e-05,
            5.600099939329084e-05,
            1.2554000022646505e-05,
            7.334999281738419e-06,
            1.1060999895562418e-05,
            8.36770004752907e-05,
            8.773100034886738e-05,
            1.28740002764971e-05,
            1.2578000678331591e-05,
            1.0406999535916839e-05,
            7.509999704780057e-06,
            1.0235000445391051e-05,
            7.3640003392938524e-06,
            1.0748999557108618e-05,
            1.0544000360823702e-05,
            9.810999472392723e-06,
            1.0290000318491366e-05,
            1.2065000191796571e-05,
            1.170799987448845e-05,
            7.482999535568524e-06,
            8.178400003089337e-05,
            6.492499960586429e-05,
            1.2559999959194101e-05,
            9.535000572213903e-06,
            1.035900004353607e-05,
            1.0800999916682485e-05,
            1.2503999641921837e-05,
            7.792799988237675e-05,
            6.361699979606783e-05,
            1.2943000001541805e-05,
            7.558000106655527e-06,
            1.1298000572423916e-05,
            7.486699996661628e-05,
            7.945100060169352e-05
        ],
        "test_time": 0.009044943999469979
    },
    "matrix_rank_test.py:test_matrix_rank_empty_xla_complex128": {
        "operations": [
            4.8320000132662244e-05,
            6.949599992367439e-05,
            0.00012984400018467568,
            2.7130000489705708e-05,
            9.777399918675655e-05,
            2.337099977012258e-05,
            9.73919995885808e-05,
            6.476399994426174e-05,
            6.905700047354912e-05,
            7.741300032648724e-05,
            7.360400013567414e-05,
            0.00012445799984561745,
            2.5102000108745415e-05,
            0.04142563000004884,
            0.04016200400019443,
            0.00011501100016175769,
            6.719399971188977e-05,
            6.363400007103337e-05,
            6.307600051513873e-05,
            7.054500019876286e-05,
            0.005650318000334664,
            0.004380477000268002,
            0.0001149279996752739,
            2.411600053164875e-05,
            8.860799971444067e-05,
            0.005138789000739052,
            0.00746033300038107,
            9.864699950412614e-05,
            6.762500015611295e-05,
            0.00010905599992838688,
            2.514100015105214e-05,
            9.399999999004649e-05,
            2.4395000764343422e-05,
            9.035299990500789e-05,
            6.64489998598583e-05,
            6.87060000927886e-05,
            7.585499952256214e-05,
            6.24149997747736e-05,
            0.00010197000028711045,
            2.4439000299025793e-05,
            0.05754527999943093,
            0.04008698699999513,
            0.00012454100033210125,
            7.699999969190685e-05,
            6.41209999230341e-05,
            6.721699992340291e-05,
            7.21970000086003e-05,
            0.00670328599971981,
            0.0037188090000199736,
            0.00010266499975841725,
            2.553100057411939e-05,
            9.131000024353852e-05,
            0.006609942999602936,
            0.007529944999987492,
            8.63799996295711e-05,
            6.665999990218552e-05,
            0.00011309399997116998,
            2.45850005740067e-05,
            0.00010172500060434686,
            2.4323000616277568e-05,
            8.731300022191135e-05,
            8.14949999039527e-05,
            7.306899988179794e-05,
            6.683900028292555e-05,
            7.140199977584416e-05,
            9.915000009641517e-05,
            2.458199924149085e-05,
            0.046225847000641807,
            0.04233764200034784,
            0.00011621599969657836,
            7.200999971246347e-05,
            8.252400039054919e-05,
            6.819000009272713e-05,
            6.750699958502082e-05,
            0.0057103169992842595,
            0.004580071000418684,
            0.0001010409996524686,
            2.460999985487433e-05,
            9.005300034914399e-05,
            0.004752772000756522,
            0.007367166000221914
        ],
        "test_time": 6.285589017999882
    },
    "matrix_rank_test.py:test_matrix_rank_empty_xla_complex64": {
        "operations": [
            7.256099979713326e-05,
            7.613299931108486e-05,
            0.00011753000035241712,
            2.562100053182803e-05,
            0.0001390389998050523,
            2.718699943216052e-05,
            9.027499982039444e-05,
            7.740399996691849e-05,
            6.650399973295862e-05,
            6.108999969001161e-05,
            6.773299992346438e-05,
            0.00012472299931687303,
            2.3692000468145125e-05,
            0.004848794000281487,
            0.004950561999976344,
            8.97129993973067e-05,
            6.577200019819429e-05,
            7.449699933204101e-05,
            4.612100019585341e-05,
            7.582400030514691e-05,
            0.004622688999916136,
            0.005040934999669844,
            0.0001451010002710973,
            2.5676000404928345e-05,
            0.00011007600005541462,
            0.0049806120005086996,
            0.004030041999612877,
            5.088699981570244e-05,
            5.8184000408800784e-05,
            0.00010653000026650261,
            2.5781999283935875e-05,
            0.00011658600033115363,
            2.4075000510492828e-05,
            9.146100001089508e-05,
            6.64650006001466e-05,
            7.605399969179416e-05,
            5.8773000091605354e-05,
            7.169699983933242e-05,
            0.0001079519997801981,
            2.6635000722308178e-05,
            0.006331640999633237,
            0.004123213000639225,
            8.316200000990648e-05,
            8.489599986205576e-05,
            6.735300030413782e-05,
            4.740599979413673e-05,
            5.4957000429567415e-05,
            0.005788318999293551,
            0.0046143799991114065,
            0.00012526800037448993,
            2.7819000024464913e-05,
            9.548800062475493e-05,
            0.005699630999515648,
            0.003917302999980166,
            4.814099975192221e-05,
            5.361700004868908e-05,
            9.89460004348075e-05,
            3.157700029987609e-05,
            9.639800009608734e-05,
            2.5297999854956288e-05,
            8.82559997990029e-05,
            8.988400077214465e-05,
            0.00018818800072040176,
            5.460499960463494e-05,
            7.047399958537426e-05,
            9.698800022306386e-05,
            2.4187000235542655e-05,
            0.03314950799995131,
            0.005707968000024266,
            7.307499981834553e-05,
            6.253799983824138e-05,
            6.266899981710594e-05,
            0.00010320000001229346,
            9.892900015984196e-05,
            0.00631380499999068,
            0.004056457999467966,
            0.00010182200003328035,
            2.833500002452638e-05,
            9.148599929176271e-05,
            0.005012492999412643,
            0.0038239019995671697
        ],
        "test_time": 4.858554442999775
    },
    "matrix_rank_test.py:test_matrix_rank_empty_xla_float32": {
        "operations": [
            5.0414000725140795e-05,
            4.0498999624105636e-05,
            5.168900042917812e-05,
            2.068899993901141e-05,
            5.3298000239010435e-05,
            2.301700078533031e-05,
            6.18089998170035e-05,
            6.378200032486347e-05,
            6.898500032548327e-05,
            6.075300007069018e-05,
            4.644599994207965e-05,
            5.01000004078378e-05,
            2.178999966417905e-05,
            0.24572685700059083,
            0.2434222130004855,
            9.842899999057408e-05,
            6.774300072720507e-05,
            6.729899996571476e-05,
            7.625699981872458e-05,
            5.513199994311435e-05,
            0.24840610599949287,
            0.23878060199967877,
            7.900999935372965e-05,
            2.2399000044970307e-05,
            8.160799916367978e-05,
            0.0065304780000587925,
            0.006040240999936941,
            5.2579999646695796e-05,
            3.874300000461517e-05,
            5.214300017541973e-05,
            2.1580000066023786e-05,
            5.514299937203759e-05,
            2.4344000848941505e-05,
            6.120499983808259e-05,
            6.376300007104874e-05,
            7.073999950080179e-05,
            5.8738999541674275e-05,
            3.9524999920104165e-05,
            5.100799990032101e-05,
            2.268799926241627e-05,
            0.2514250329995775,
            0.24625349000052665,
            0.00010881600064749364,
            6.456800019805087e-05,
            6.678200043097604e-05,
            7.617600022058468e-05,
            5.0876999921456445e-05,
            0.24193739099973754,
            0.24929949899978965,
            8.04090004749014e-05,
            2.3006999981589615e-05,
            9.222900007443968e-05,
            0.006958446000680851,
            0.00657071299974632,
            5.0538000323285814e-05,
            3.8314000448735896e-05,
            4.933800028084079e-05,
            2.264300019305665e-05,
            5.046799924457446e-05,
            2.3732000045129098e-05,
            5.958400015515508e-05,
            7.961200026329607e-05,
            6.5916000494326e-05,
            5.8054999499290716e-05,
            4.010799966636114e-05,
            4.688700028054882e-05,
            2.1396000192908105e-05,
            0.25538335199962603,
            0.24720186700051272,
            0.00010489499982213601,
            7.012300011410844e-05,
            8.014600007300032e-05,
            6.881599983898923e-05,
            5.27339998370735e-05,
            0.244959024000309,
            0.24296161100028257,
            8.074600009422284e-05,
            2.239700006612111e-05,
            8.750399956625188e-05,
            0.007713727000009385,
            0.00599906200022815
        ],
        "test_time": 3.2857081190004465
    },
    "matrix_rank_test.py:test_matrix_rank_empty_xla_float64": {
        "operations": [
            5.370500002754852e-05,
            3.83040005544899e-05,
            5.695400068361778e-05,
            3.7230000089039095e-05,
            4.7636999624955934e-05,
            2.0752999262185767e-05,
            6.431399924622383e-05,
            6.003599992254749e-05,
            7.355700017797062e-05,
            6.553400089615025e-05,
            3.723400004673749e-05,
            5.18039996677544e-05,
            2.143600067938678e-05,
            0.24557344900040334,
            0.24698329999955604,
            0.00012120800056436565,
            0.00011355800052115228,
            6.204100009199465e-05,
            5.2987999879405834e-05,
            6.440500055759912e-05,
            0.2427646090000053,
            0.24205677500049205,
            8.3523000284913e-05,
            2.4840999685693532e-05,
            0.00010270100028719753,
            0.006170244999339047,
            0.006554227000378887,
            4.98569997944287e-05,
            4.514299962465884e-05,
            4.687400087277638e-05,
            2.4885000129870605e-05,
            4.8425999921164475e-05,
            2.2041999727662187e-05,
            5.837600019731326e-05,
            6.769399988115765e-05,
            6.355599998641992e-05,
            8.787900060269749e-05,
            4.651200015359791e-05,
            5.687200064130593e-05,
            2.4796000616333913e-05,
            0.25228390299980674,
            0.24391263099914795,
            0.00010985000062646577,
            6.750000011379598e-05,
            5.850500019732863e-05,
            5.508800040843198e-05,
            4.933000036544399e-05,
            0.2484505109996462,
            0.24648015799994027,
            7.824000022083055e-05,
            2.2662999981548637e-05,
            7.997399916348513e-05,
            0.006615158000386145,
            0.0067888759995184955,
            4.677800006902544e-05,
            4.370800070319092e-05,
            5.238599987933412e-05,
            2.1716999981435947e-05,
            4.998600070393877e-05,
            2.4328000108653214e-05,
            6.507400030386634e-05,
            6.472699988080421e-05,
            6.964499971218174e-05,
            4.614799945557024e-05,
            3.505499989842065e-05,
            6.586800009245053e-05,
            2.5555000320309773e-05,
            0.25845160900007613,
            0.2600730439999097,
            0.00011704400003509363,
            8.31989991638693e-05,
            6.559299981745426e-05,
            5.3591999858326744e-05,
            4.507500034378609e-05,
            0.26842031800060795,
            0.29116524500022933,
            7.39819997761515e-05,
            2.2512999748869333e-05,
            8.313899979839334e-05,
            0.006793612000365101,
            0.0055964309995033545
        ],
        "test_time": 3.382916534999822
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_cpu_complex128": {
        "operations": [
            0.00014381800065166317
        ],
        "test_time": 0.004877365999163885
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_cpu_complex64": {
        "operations": [
            0.00012232399967615493
        ],
        "test_time": 0.004289253000024473
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_cpu_float32": {
        "operations": [
            0.00013059499997325474
        ],
        "test_time": 0.004162438000093971
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_cpu_float64": {
        "operations": [
            0.00013506300001608906
        ],
        "test_time": 0.0044055819998902734
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_xla_complex128": {
        "operations": [
            0.04748491999998805
        ],
        "test_time": 0.05571049100035452
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_xla_complex64": {
        "operations": [
            0.0050405060001139645
        ],
        "test_time": 0.011266122999586514
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_xla_float32": {
        "operations": [
            0.04088226600015332
        ],
        "test_time": 0.0454406620001464
    },
    "matrix_rank_test.py:test_matrix_rank_out_errors_and_warnings_xla_float64": {
        "operations": [
            0.004709984000328404
        ],
        "test_time": 0.009465979999731644
    },
    "matrix_rank_test.py:test_matrix_rank_xla_complex128": {
        "operations": [
            9.330171865000011,
            9.179210777999288,
            0.006246392000321066,
            0.005155796000508417,
            0.06154978099948494,
            0.044588877000023786,
            0.006559403000210295,
            0.005595643000560813,
            0.035899567999877036,
            0.005598286999884294,
            9.35930002015084e-05,
            7.70800006648642e-05,
            0.00012677999984589405,
            2.957299966510618e-05,
            0.00011083000026701484,
            2.8249000024516135e-05,
            0.00029702099982387153,
            0.00011168000037287129,
            6.572799975401722e-05,
            5.096299992146669e-05,
            9.265564350999739,
            8.806721205999565,
            0.04285765300028288,
            0.06665228600013506,
            0.004678670000430429,
            0.003462073000264354,
            0.005563974000324379,
            0.005355616999622725,
            0.007235934000163979,
            0.006149058000119112,
            8.973422218999985,
            8.959056042999691,
            0.09165708599994105,
            0.0786058370003957,
            0.004381534000458487,
            0.0036621639992517885,
            0.0076014120004401775,
            0.043873826999515586,
            0.008603213999776926,
            0.006492239000181144
        ],
        "test_time": 140.532291171
    },
    "matrix_rank_test.py:test_matrix_rank_xla_complex64": {
        "operations": [
            9.028965450999749,
            10.407415791999483,
            0.005761832000644063,
            0.004418802999680338,
            0.005446436000056565,
            0.005301608999616292
        ],
        "test_time": 38.03802436100068
    },
    "matrix_rank_test.py:test_matrix_rank_xla_float32": {
        "operations": [
            9.5710408190007,
            8.96473833699929,
            9.10711047299992,
            9.215110440999524,
            11.280008667000402,
            9.81267376300002,
            0.0057344990000274265,
            0.0056751680003799265,
            0.00550841499989474,
            0.006345882999994501,
            8.178499956557062e-05,
            4.775100023834966e-05,
            5.339600011211587e-05,
            2.327899983356474e-05,
            5.5759999668225646e-05,
            2.3953999516379554e-05,
            0.00012354200043773744,
            0.00013104099980409956,
            6.868899981782306e-05,
            4.972199985786574e-05,
            8.629232009000589,
            9.168314977999216,
            8.879847397000049,
            8.704045368000152,
            8.757663671000046,
            8.899946526000349,
            0.0062289019997479045,
            0.00638585900014732,
            0.005755072999818367,
            0.005199161999371427,
            11.174714912999661,
            9.460053064999556,
            9.382513048999499,
            9.374109843999577,
            9.376733137000883,
            9.773668558999816,
            0.005965934999949241,
            0.04521203500007687,
            0.00537439900017489,
            0.004982673000085924
        ],
        "test_time": 225.60855837600047
    },
    "matrix_rank_test.py:test_matrix_rank_xla_float64": {
        "operations": [
            9.841177121000328,
            9.111088745000416,
            9.172300873000495,
            9.054157091999514,
            9.150423189999856,
            9.916591526999582,
            0.0064670239999031764,
            0.005667879999236902,
            0.004782390000400483,
            0.0055544879996887175,
            4.801599970960524e-05,
            4.026399983558804e-05,
            6.003099952067714e-05,
            4.485400040721288e-05,
            7.22619997759466e-05,
            2.428599964332534e-05,
            0.00012687700018432224,
            0.00012218200026836712,
            6.333300007099751e-05,
            5.0772000577126164e-05,
            9.556677408999349,
            10.047735008000018,
            8.927616621000197,
            10.542952146000061,
            8.892045507000148,
            8.90788946900011,
            0.006679428999632364,
            0.006360327000038524,
            0.005091592000098899,
            0.0047852119996605325,
            10.056689228000323,
            9.186893330000203,
            9.167100974999812,
            9.727335589000177,
            9.252757006000138,
            9.170356730999629,
            0.006453068999690004,
            0.006659968000349181,
            0.006293431000813143,
            0.005150379000042449
        ],
        "test_time": 225.34166029399967
    },
    "moveaxis_test.py:test_movedim_cpu_complex128": {
        "operations": [
            0.00010918899988610065,
            1.4894999367243145e-05,
            3.392999951756792e-05,
            1.12450006781728e-05,
            1.2180000339867547e-05,
            1.5064000763231888e-05,
            1.2454999705369119e-05,
            1.174200042441953e-05,
            1.5022000297904015e-05,
            2.571599998191232e-05,
            1.3490000128513202e-05,
            1.2401999811118003e-05,
            1.0477000614628196e-05,
            1.0454999937792309e-05,
            1.0376999853178859e-05,
            2.0703000700450502e-05,
            1.2972000149602536e-05,
            1.1664999874483328e-05,
            1.1735000043699984e-05,
            1.1791000360972248e-05,
            1.2178999895695597e-05,
            1.1281000297458377e-05,
            1.0358000508858822e-05,
            1.034500019159168e-05,
            1.0050999662780669e-05,
            1.0439999641675968e-05,
            1.0038999789685477e-05,
            9.280000085709617e-06,
            1.3333000424609054e-05,
            1.3283000043884385e-05,
            1.1009999980160501e-05,
            1.2977000551472884e-05,
            1.2849000086134765e-05,
            1.1410999832150992e-05,
            2.704700000322191e-05,
            1.0955000107060187e-05,
            1.1101999916718341e-05,
            1.1080999684054404e-05,
            1.3768999451713171e-05,
            1.3023999599681702e-05,
            1.4960999578761403e-05,
            1.1762000212911516e-05,
            1.1306999113003258e-05,
            1.7082999875128735e-05,
            1.2841999705415219e-05,
            1.330499981122557e-05,
            1.3240000043879263e-05,
            1.2805000551452395e-05,
            1.2826999409298878e-05,
            1.2798999705410097e-05,
            1.2471999980334658e-05,
            1.254800008609891e-05,
            1.415899987478042e-05,
            1.3408000086201355e-05,
            1.3399999261309858e-05,
            1.352099934592843e-05,
            1.365999924018979e-05,
            1.2996999430470169e-05,
            1.3350000699574593e-05,
            1.3030999980401248e-05,
            1.3152999599697068e-05,
            1.2786000297637656e-05,
            1.2831000276491977e-05,
            1.2869999409304e-05,
            1.375499959976878e-05,
            1.2748000699502882e-05,
            1.2944999980391003e-05,
            1.1740000445570331e-05,
            1.122599951486336e-05,
            1.082499966287287e-05,
            1.0947000191663392e-05,
            1.080899983207928e-05,
            1.43449997267453e-05,
            1.1937999261135701e-05,
            1.1410999832150992e-05,
            1.2290999620745424e-05,
            1.1963999895669986e-05,
            1.1938000170630403e-05,
            1.1215000085940119e-05,
            1.3984999895910732e-05,
            1.3320000107341912e-05,
            1.2868999874626752e-05,
            1.2511999557318632e-05,
            1.2704999790003058e-05,
            1.2710000191873405e-05,
            1.2202999641885981e-05,
            1.2816999515052885e-05,
            1.291799981117947e-05,
            1.2492999303503893e-05,
            1.2623000657185912e-05,
            1.4686000213259831e-05,
            1.3199999557400588e-05,
            1.2399000297591556e-05,
            1.3644999853568152e-05,
            1.271699966309825e-05,
            1.2820999472751282e-05,
            1.2589000107254833e-05,
            1.2637000509130303e-05,
            1.2783999409293756e-05,
            1.273399993806379e-05,
            1.6176999452000018e-05,
            1.5002999134594575e-05,
            1.6308000340359285e-05,
            1.947900000232039e-05,
            1.277799947274616e-05,
            1.4993000149843283e-05
        ],
        "test_time": 0.059046114000011585
    },
    "moveaxis_test.py:test_movedim_cpu_float32": {
        "operations": [
            1.3120000403432641e-05,
            1.212699953612173e-05,
            1.2586000593728386e-05,
            1.0527000085858162e-05,
            1.1610000001383014e-05,
            1.0850000762729906e-05,
            9.580000551068224e-06,
            1.0472000212757848e-05,
            1.1651000022538938e-05,
            1.0816999747476075e-05,
            1.1610999536060262e-05,
            1.0570000085863285e-05,
            1.2647999938053545e-05,
            9.534000128041953e-06,
            9.438000233785715e-06,
            9.350000254926272e-06,
            1.4184999599820003e-05,
            1.592499938851688e-05,
            1.243800033989828e-05,
            1.2412000614858698e-05,
            1.1856000128318556e-05,
            1.1237999387958553e-05,
            1.0237999958917499e-05,
            9.546000001137145e-06,
            9.527000656817108e-06,
            9.2290001703077e-06,
            9.89399995887652e-06,
            9.704999683890492e-06,
            1.1067999366787262e-05,
            1.0621000001265202e-05,
            1.0035000741481781e-05,
            1.2212000001454726e-05,
            1.283999972656602e-05,
            1.1713000276358798e-05,
            1.149299987446284e-05,
            1.1389000064809807e-05,
            1.2010000318696257e-05,
            1.153699940914521e-05,
            1.1017999895557296e-05,
            1.1393999557185452e-05,
            1.1506000191729981e-05,
            1.1178999557159841e-05,
            1.1348000043653883e-05,
            1.4872000065224711e-05,
            1.318300019192975e-05,
            1.3496000065060798e-05,
            3.9209999158629216e-05,
            1.3140999726601876e-05,
            1.3483000657288358e-05,
            1.3899999430577736e-05,
            1.285700000153156e-05,
            1.279600019188365e-05,
            1.344700012850808e-05,
            1.2599000001500826e-05,
            1.2787999366992153e-05,
            1.370900008623721e-05,
            1.2685000001511071e-05,
            1.2441999388101976e-05,
            1.2776000403391663e-05,
            1.3015000149607658e-05,
            1.2831000276491977e-05,
            1.3670000043930486e-05,
            1.2944999980391003e-05,
            1.273399993806379e-05,
            1.274699934583623e-05,
            1.2739000339934137e-05,
            1.3330999536265153e-05,
            1.2073000107193366e-05,
            1.1952000022574794e-05,
            1.1443000403232872e-05,
            1.1017000360880047e-05,
            1.0806999853230081e-05,
            1.0859999747481197e-05,
            1.135500042437343e-05,
            1.1326999810989946e-05,
            1.116499970521545e-05,
            1.1224999980186112e-05,
            1.0855000255105551e-05,
            1.0965999535983428e-05,
            1.4209999790182337e-05,
            1.3414000022748951e-05,
            1.2380000043776818e-05,
            1.614600023458479e-05,
            1.3022000530327205e-05,
            1.3022999155509751e-05,
            1.640899972699117e-05,
            1.2330000572546851e-05,
            1.4514000213239342e-05,
            1.3978999959363136e-05,
            1.3541000043915119e-05,
            1.3392999790085014e-05,
            1.3077999938104767e-05,
            1.4011999155627564e-05,
            1.4252000255510211e-05,
            1.3358000614971388e-05,
            1.2798999705410097e-05,
            1.3120000403432641e-05,
            2.7130000489705708e-05,
            1.3062999641988426e-05,
            1.2971000614925288e-05,
            1.352399976894958e-05,
            1.2821999916923232e-05,
            1.2953999430465046e-05,
            1.694999991741497e-05,
            1.1690000064845663e-05,
            1.1886999345733784e-05
        ],
        "test_time": 0.05000594900047872
    },
    "moveaxis_test.py:test_movedim_cpu_int64": {
        "operations": [
            1.2867999430454802e-05,
            1.0613000085868407e-05,
            9.842000508797355e-06,
            8.046999937505461e-06,
            9.476999366597738e-06,
            8.843999239616096e-06,
            7.95699997979682e-06,
            7.6110000009066425e-06,
            3.5912000384996645e-05,
            1.0739000572357327e-05,
            9.190000128000975e-06,
            7.959999493323267e-06,
            7.235000339278486e-06,
            7.161000212363433e-06,
            8.40600023366278e-06,
            7.192999873950612e-06,
            1.1792999430326745e-05,
            1.0038999789685477e-05,
            9.469999895372894e-06,
            8.407999303017277e-06,
            9.034999493451323e-06,
            8.705000254849438e-06,
            7.820000064384658e-06,
            8.479999451083131e-06,
            8.451000212517101e-06,
            8.160999641404487e-06,
            6.809999831602909e-06,
            6.788000064261723e-06,
            8.73400040291017e-06,
            8.053000783547759e-06,
            7.765000191284344e-06,
            9.624000085750595e-06,
            8.85499957803404e-06,
            7.525000000896398e-06,
            7.114999789337162e-06,
            7.317000381590333e-06,
            7.274999916262459e-06,
            7.328999345190823e-06,
            7.217999154818244e-06,
            6.975999895075802e-06,
            7.867000022088178e-06,
            7.267000000865664e-06,
            7.249999725900125e-06,
            1.0041999303211924e-05,
            8.053000783547759e-06,
            8.01799978944473e-06,
            2.7910999961022753e-05,
            9.418999979970977e-06,
            9.338999916508328e-06,
            8.65400033944752e-06,
            8.418000106757972e-06,
            8.378000529773999e-06,
            8.276999324152712e-06,
            8.194999281840865e-06,
            8.455999704892747e-06,
            7.966000339365564e-06,
            7.267000000865664e-06,
            7.540000297012739e-06,
            6.966999535507057e-06,
            7.126999662432354e-06,
            7.159999768191483e-06,
            7.103999450919218e-06,
            7.111999366316013e-06,
            7.196000296971761e-06,
            7.2900002123788e-06,
            6.8819999796687625e-06,
            7.255000127770472e-06,
            1.0126000233867671e-05,
            8.787000297161285e-06,
            8.659999366500415e-06,
            8.67100061441306e-06,
            8.424000043305568e-06,
            8.312000318255741e-06,
            8.485999387630727e-06,
            8.310999874083791e-06,
            9.059999683813658e-06,
            8.668000191391911e-06,
            8.40499978949083e-06,
            8.475999493384734e-06,
            8.048000381677411e-06,
            8.67000017024111e-06,
            8.54600057209609e-06,
            9.93999947240809e-06,
            8.679000529809855e-06,
            9.337999472336378e-06,
            8.73200042406097e-06,
            8.45400063553825e-06,
            8.455999704892747e-06,
            8.65199945110362e-06,
            8.300999979837798e-06,
            8.511000487487763e-06,
            9.483999747317284e-06,
            1.1948999599553645e-05,
            1.118199998018099e-05
        ],
        "test_time": 0.024565042999711295
    },
    "moveaxis_test.py:test_movedim_invalid_cpu_complex128": {
        "operations": [],
        "test_time": 0.06284294000033697
    },
    "moveaxis_test.py:test_movedim_invalid_cpu_float32": {
        "operations": [],
        "test_time": 0.060714373999871896
    },
    "moveaxis_test.py:test_movedim_invalid_cpu_int64": {
        "operations": [],
        "test_time": 0.0606097090003459
    },
    "moveaxis_test.py:test_movedim_invalid_xla_complex128": {
        "operations": [],
        "test_time": 0.09332852499937871
    },
    "moveaxis_test.py:test_movedim_invalid_xla_float32": {
        "operations": [],
        "test_time": 0.07028490099946794
    },
    "moveaxis_test.py:test_movedim_invalid_xla_int64": {
        "operations": [],
        "test_time": 0.06471201600015775
    },
    "moveaxis_test.py:test_movedim_xla_complex128": {
        "operations": [
            0.00010599600045679836,
            4.828200053452747e-05,
            9.407700053998269e-05,
            6.033499994373415e-05,
            4.778700076712994e-05,
            5.229699945630273e-05,
            3.0232999961299356e-05,
            2.7116000637761317e-05,
            2.92350005111075e-05,
            2.7768000109062996e-05,
            0.00010135200045624515,
            0.0003019819996552542,
            3.576000017346814e-05,
            3.026000013051089e-05,
            3.1692999982624315e-05,
            2.7026000680052675e-05,
            3.3196999538631644e-05,
            3.142200057482114e-05,
            4.686299962486373e-05,
            3.0856000194035005e-05,
            3.1491000299865846e-05,
            2.7136999960930552e-05,
            2.6749999960884452e-05,
            2.8917000236106105e-05,
            3.0322999919007998e-05,
            2.590100029919995e-05,
            2.7951999982178677e-05,
            2.7981999664916657e-05,
            4.189399987808429e-05,
            2.676900021469919e-05,
            2.7569999474508222e-05,
            0.00011127200014016125,
            5.2767999477509875e-05,
            4.007600000477396e-05,
            4.2302000110794324e-05,
            3.354599994054297e-05,
            3.8021000364096835e-05,
            4.116999934922205e-05,
            4.478899973037187e-05,
            3.17940002787509e-05,
            3.7614999200741295e-05,
            3.6016999729326926e-05,
            3.8885999856574927e-05,
            3.462099994067103e-05,
            2.9748999622825067e-05,
            4.075400011060992e-05,
            3.170500076521421e-05,
            5.1156000154151116e-05,
            3.4345999665674753e-05,
            4.7296000047936104e-05,
            3.699199987750035e-05,
            3.191399991919752e-05,
            3.362000006745802e-05,
            5.469799998536473e-05,
            3.4157999834860675e-05,
            3.0528999559464864e-05,
            3.3774000257835723e-05,
            4.1802999476203695e-05,
            3.313100023660809e-05,
            4.1758999941521324e-05,
            3.446600021561608e-05,
            3.6561999877449125e-05,
            4.122299924347317e-05,
            3.695599934872007e-05,
            3.9709999327897094e-05,
            3.238800036342582e-05,
            3.1364999813376926e-05,
            3.364300027897116e-05,
            4.246500066074077e-05,
            3.60550002369564e-05,
            3.7676999454561155e-05,
            3.4265999602212105e-05,
            2.9214000278443564e-05,
            3.6654999348684214e-05,
            3.9434000427718274e-05,
            3.38059999194229e-05,
            3.00130004688981e-05,
            2.863200006686384e-05,
            3.270399975008331e-05,
            4.3001000449294224e-05,
            3.3400000575056765e-05,
            2.920299994002562e-05,
            3.241099966544425e-05,
            2.9990999792062212e-05,
            4.2953000047418755e-05,
            3.106799977103947e-05,
            3.2208000448008534e-05,
            3.475299945421284e-05,
            3.5433000448392704e-05,
            3.9601999560545664e-05,
            3.081300019402988e-05,
            3.9667000237386674e-05,
            3.5758000194618944e-05,
            4.5277999561221804e-05,
            3.4263999623362906e-05,
            3.4683999729168136e-05,
            3.603100049076602e-05,
            3.2980000469251536e-05,
            4.57480000477517e-05,
            3.050499981327448e-05,
            4.075699962413637e-05,
            3.573400044842856e-05,
            4.42040000052657e-05,
            2.3882000277808402e-05,
            1.541500023449771e-05,
            1.4743000065209344e-05
        ],
        "test_time": 81.10165710000001
    },
    "moveaxis_test.py:test_movedim_xla_float32": {
        "operations": [
            0.00012295800024730852,
            0.00017513000057078898,
            0.00010180099980061641,
            4.419899960339535e-05,
            3.415100036363583e-05,
            2.926599972852273e-05,
            2.778999987640418e-05,
            2.701799985516118e-05,
            2.8620999728445895e-05,
            2.934399981313618e-05,
            9.540700011712033e-05,
            4.6891000238247216e-05,
            3.10160003209603e-05,
            3.0404999961319845e-05,
            2.9925000490038656e-05,
            3.0328999855555594e-05,
            4.3569999434112106e-05,
            3.0426000193983782e-05,
            2.8395000299497042e-05,
            3.0368999432539567e-05,
            3.2298999940394424e-05,
            2.9972999982419424e-05,
            2.6648000130080618e-05,
            4.531699960352853e-05,
            3.0793999940215144e-05,
            2.6961000003211666e-05,
            2.96989992421004e-05,
            2.5647000256867614e-05,
            2.934400072263088e-05,
            3.2855999961611815e-05,
            2.839299941115314e-05,
            9.743900045577902e-05,
            4.8998999773175456e-05,
            3.8950000089243986e-05,
            4.809099937119754e-05,
            2.926399974967353e-05,
            0.00011936800001421943,
            4.2010000470327213e-05,
            3.075599943258567e-05,
            2.8589999601535965e-05,
            3.759499941224931e-05,
            4.035300025861943e-05,
            4.005899972980842e-05,
            3.4889999369625e-05,
            4.106600044906372e-05,
            4.115699994144961e-05,
            3.460399966570549e-05,
            6.332100019790232e-05,
            2.8978000045754015e-05,
            3.378899964445736e-05,
            3.304499932710314e-05,
            3.325199941173196e-05,
            2.8982000003452413e-05,
            2.949899953819113e-05,
            4.177899973001331e-05,
            3.096900036325678e-05,
            3.309700059617171e-05,
            3.07850004901411e-05,
            3.362600000400562e-05,
            4.224599979352206e-05,
            3.470800038485322e-05,
            3.425500017328886e-05,
            3.087799996137619e-05,
            3.139199998258846e-05,
            3.243100036343094e-05,
            2.951600072265137e-05,
            3.075199947488727e-05,
            3.6172999898553826e-05,
            3.008699968631845e-05,
            2.8123999982199166e-05,
            2.8178000320622232e-05,
            3.0179000532370992e-05,
            2.8385999939928297e-05,
            2.7972999305347912e-05,
            2.8548000045702793e-05,
            2.7291000151308253e-05,
            2.9648000236193184e-05,
            2.916999983426649e-05,
            2.6055999114760198e-05,
            3.065200053242734e-05,
            2.8568999368872028e-05,
            2.8419999580364674e-05,
            2.989999939018162e-05,
            2.9617000109283254e-05,
            4.06360004490125e-05,
            2.912299987656297e-05,
            3.0481999601761345e-05,
            3.391700010979548e-05,
            2.920499991887482e-05,
            3.358899994054809e-05,
            2.926800061686663e-05,
            2.8342000405245926e-05,
            2.9939999876660295e-05,
            3.0279999919002876e-05,
            2.847299947461579e-05,
            3.185199966537766e-05,
            2.8207000468682963e-05,
            2.712800051085651e-05,
            2.9314999665075447e-05,
            3.137900057481602e-05,
            3.8451999898825306e-05,
            3.196500074409414e-05,
            3.106500025751302e-05,
            1.7368000044371e-05,
            1.3666000086232089e-05,
            1.2484999388107099e-05
        ],
        "test_time": 77.53751195899986
    },
    "moveaxis_test.py:test_movedim_xla_int64": {
        "operations": [
            0.00013077200037514558,
            5.293499998515472e-05,
            0.00011020200054190354,
            7.984200055943802e-05,
            3.710000055434648e-05,
            3.435400049056625e-05,
            3.0046000574657228e-05,
            2.6405000426166225e-05,
            4.6768000174779445e-05,
            4.162400000495836e-05,
            0.00011790999997174367,
            5.062499985797331e-05,
            4.0875000195228495e-05,
            3.269500030000927e-05,
            3.6778999856323935e-05,
            2.992899953824235e-05,
            3.327000013086945e-05,
            3.793900032178499e-05,
            3.190500046912348e-05,
            3.176000063831452e-05,
            3.112600006716093e-05,
            3.162900065944996e-05,
            2.9606000680360012e-05,
            2.8043999918736517e-05,
            2.7101999876322225e-05,
            2.7801000214822125e-05,
            2.889400002459297e-05,
            2.982400019391207e-05,
            2.8100000236008782e-05,
            2.6031999368569814e-05,
            2.494100044714287e-05,
            0.00010558399935689522,
            5.054400025983341e-05,
            4.274499951861799e-05,
            3.930100047000451e-05,
            3.145900063827867e-05,
            4.997999985789647e-05,
            3.423099951760378e-05,
            3.233400002500275e-05,
            2.9892999918956775e-05,
            3.095499960181769e-05,
            3.30339998981799e-05,
            3.07870004689903e-05,
            3.1616000342182815e-05,
            3.4192000384791754e-05,
            3.1337000109488145e-05,
            3.151399960188428e-05,
            2.9625000024680048e-05,
            3.709500015247613e-05,
            2.7615999897534493e-05,
            2.7573000807024073e-05,
            3.228500008845003e-05,
            2.9068000003462657e-05,
            3.053199998248601e-05,
            3.1273999411496334e-05,
            2.5219999770342838e-05,
            2.9415000426524784e-05,
            2.7781999961007386e-05,
            3.0358000003616326e-05,
            2.7676999707182404e-05,
            2.666000000317581e-05,
            2.7533000320545398e-05,
            2.9181999707361683e-05,
            2.7073000637756195e-05,
            2.759099970717216e-05,
            2.793000021483749e-05,
            2.5115000426012557e-05,
            3.20270000884193e-05,
            3.6733000342792366e-05,
            3.13279997499194e-05,
            3.1026000215206295e-05,
            3.1924999348120764e-05,
            3.260999983467627e-05,
            3.322399970784318e-05,
            3.137200019409647e-05,
            3.0269000490079634e-05,
            3.097400076512713e-05,
            4.4023000555171166e-05,
            2.763799966487568e-05,
            3.028799983439967e-05,
            2.937499994004611e-05,
            3.0713999876752496e-05,
            2.9366000489972066e-05,
            2.9769000320811756e-05,
            4.074200023751473e-05,
            3.627600017352961e-05,
            3.0653000067104585e-05,
            3.0375999813259114e-05,
            3.0637999770988245e-05,
            2.768299964373e-05,
            2.9537000045820605e-05,
            1.5952000467223115e-05,
            2.996300008817343e-05,
            1.1355999959050678e-05
        ],
        "test_time": 99.16507010100031
    },
    "multinomial_test.py:test_multinomial_1d_cpu": {
        "operations": [
            0.07613406800010125,
            0.000515402000019094,
            0.00041656099983811146,
            0.0004225940001560957,
            0.00033010399965860415
        ],
        "test_time": 0.08861039499970502
    },
    "multinomial_test.py:test_multinomial_1d_log_prob_and_entropy_cpu": {
        "operations": [
            0.00036345799981063465,
            0.00031384599969896954
        ],
        "test_time": 0.005482685000060883
    },
    "multinomial_test.py:test_multinomial_1d_log_prob_and_entropy_xla": {
        "operations": [
            0.00038615500034211436,
            0.0003225489999749698
        ],
        "test_time": 0.003966092999689863
    },
    "multinomial_test.py:test_multinomial_1d_xla": {
        "operations": [
            0.18004929100061418,
            0.03990739900018525,
            0.02539275599974644,
            0.017483106999861775
        ],
        "test_time": 3.3787723519999417
    },
    "multinomial_test.py:test_multinomial_2d_cpu": {
        "operations": [
            0.0004440279999471386,
            0.00042480299998715054,
            0.00039403799928550143,
            0.00036022800031787483,
            0.00034723699991445756
        ],
        "test_time": 0.011784473999796319
    },
    "multinomial_test.py:test_multinomial_2d_xla": {
        "operations": [
            0.0006635030003963038,
            0.00043191500026296126,
            0.0004606000002240762,
            0.0004298569992897683,
            0.0003663399993456551
        ],
        "test_time": 0.02719320200048969
    },
    "multinomial_test.py:test_multinomial_log_prob_with_logits_cpu": {
        "operations": [
            0.0011323270000502816,
            0.00046630400083813583
        ],
        "test_time": 0.022739278000699414
    },
    "multinomial_test.py:test_multinomial_log_prob_with_logits_xla": {
        "operations": [
            0.1500257480001892,
            0.03503935100070521
        ],
        "test_time": 0.472187168000346
    },
    "multinomial_test.py:test_multinomial_shape_cpu": {
        "operations": [
            0.0003829629995379946
        ],
        "test_time": 0.002560478999839688
    },
    "multinomial_test.py:test_multinomial_shape_xla": {
        "operations": [
            0.13477674099976866
        ],
        "test_time": 0.43366136500026187
    },
    "ormqr_test.py:test_ormqr_cpu_complex128": {
        "operations": [
            9.063200013770256e-05,
            4.67630006824038e-05,
            2.8502000532171223e-05,
            2.5272000129916705e-05,
            2.3194999812403694e-05,
            2.8837999707320705e-05,
            2.817799941112753e-05,
            2.786699951684568e-05,
            2.6386000172351487e-05,
            2.339899947401136e-05,
            2.3924999368318822e-05,
            2.420700002403464e-05,
            2.4744999791437294e-05,
            2.338600006623892e-05,
            2.1299999389157165e-05,
            4.463099958229577e-05,
            2.8587000088009518e-05,
            2.6079999770445284e-05,
            2.456499987602001e-05,
            2.2637999791186303e-05,
            1.8821000594471116e-05,
            1.924600019265199e-05,
            1.792900002328679e-05,
            1.7256999853998423e-05,
            2.9056999665044714e-05,
            1.7834000573202502e-05,
            1.8724999790720176e-05,
            1.9748999875446316e-05,
            1.81440000233124e-05,
            1.726299979054602e-05,
            2.360800044698408e-05,
            2.4816999939503148e-05,
            2.222600051027257e-05,
            2.174700057366863e-05,
            2.0075000065844506e-05,
            2.586599930509692e-05,
            2.602299991849577e-05,
            2.4353999833692797e-05,
            2.5142999220406637e-05,
            2.2940999770071357e-05,
            2.2064999939175323e-05,
            2.4036000468186103e-05,
            2.157700055249734e-05,
            2.1615000150632113e-05,
            2.1877999643038493e-05,
            2.4987999495351687e-05,
            2.6056999558932148e-05,
            2.6452999918546993e-05,
            2.4119999579852447e-05,
            2.28750004680478e-05,
            2.7922999834117945e-05,
            1.9372999304323457e-05,
            1.7626999579078984e-05,
            1.6925000636547338e-05,
            1.7104000107792672e-05,
            1.803800023481017e-05,
            1.8527000065660104e-05,
            1.7428999854018912e-05,
            1.9360999431228265e-05,
            1.8585000361781567e-05,
            1.7721000403980725e-05,
            1.8666999494598713e-05,
            1.718400017125532e-05,
            1.786499979061773e-05,
            1.7798000044422224e-05,
            1.7303999811701942e-05,
            1.9523000446497463e-05,
            1.7655999727139715e-05,
            1.6971999684756156e-05,
            1.713599976937985e-05,
            1.9172999600414187e-05,
            1.8895999346568715e-05,
            1.7149000086646993e-05,
            1.6963000234682113e-05,
            1.8667999938770663e-05,
            1.8243999875267036e-05,
            1.9149000763718504e-05,
            1.690499993856065e-05,
            1.665699983277591e-05,
            1.775800046743825e-05,
            1.8030000319413375e-05,
            1.8129000636690762e-05,
            1.777400029823184e-05,
            1.684200015006354e-05,
            1.681200046732556e-05,
            1.8430000636726618e-05,
            1.9162999706168193e-05,
            1.765100023476407e-05,
            1.665800027694786e-05,
            1.7135000234702602e-05,
            1.989800057344837e-05,
            2.0184999812045135e-05,
            1.9611999960034154e-05,
            1.8726999769569375e-05,
            1.930599955812795e-05,
            1.8613999600347597e-05,
            3.065700002480298e-05,
            2.182400021411013e-05,
            2.260100063722348e-05,
            1.8939999790745787e-05,
            2.0159000087005552e-05,
            1.9629999769676942e-05,
            3.894800011039479e-05,
            1.960200006578816e-05,
            1.875100042525446e-05,
            1.887600046757143e-05,
            1.957600034074858e-05,
            1.986799998121569e-05,
            1.6650000361551065e-05,
            1.3984999895910732e-05,
            1.450200034014415e-05,
            1.601900021341862e-05,
            1.4360000022861641e-05,
            1.3883000065106899e-05,
            1.377199987473432e-05,
            1.4508999811368994e-05,
            1.618999976926716e-05,
            1.400600012857467e-05,
            1.4140000530460384e-05,
            1.3564999790105503e-05,
            1.845699989644345e-05,
            1.805099964258261e-05,
            1.6855000467330683e-05,
            1.820600027713226e-05,
            1.712099947326351e-05,
            1.7807999938668218e-05,
            3.762199958146084e-05,
            1.856600010796683e-05,
            1.5243000234477222e-05,
            1.4237999494071119e-05,
            1.5003000044089276e-05,
            1.5329000234487467e-05,
            1.5469000572920777e-05,
            1.4594999811379239e-05,
            1.3509999917005189e-05,
            1.8150999494537245e-05,
            2.6681999770516995e-05,
            1.4575000022887252e-05,
            1.3883999599784147e-05,
            1.3718000445805956e-05,
            1.5001999599917326e-05,
            1.6166000023076776e-05,
            1.4322999959404115e-05,
            1.4031999853614252e-05,
            1.3472000318870414e-05,
            1.4785000530537218e-05,
            1.5715999325038865e-05,
            1.432899989595171e-05,
            1.4015000488143414e-05,
            1.3443000170809682e-05,
            1.563300065754447e-05,
            1.4965000445954502e-05,
            1.4165999346005265e-05,
            1.3920999663241673e-05,
            1.3458000466926023e-05,
            1.5631000678695273e-05,
            1.526300002296921e-05,
            1.4416999874811154e-05,
            1.3777000276604667e-05,
            1.3435000255412888e-05,
            1.493499985372182e-05,
            1.502800023445161e-05,
            1.445800080546178e-05,
            1.4164000276650768e-05,
            1.3474000297719613e-05,
            1.495099968451541e-05,
            1.5440000424860045e-05,
            1.4031999853614252e-05,
            1.8691999684961047e-05,
            4.38879997091135e-05,
            1.614299981156364e-05,
            1.6797999705886468e-05,
            2.0065000171598513e-05,
            1.5050999536470044e-05,
            1.3343000318855047e-05,
            1.4989000192144886e-05,
            1.4975999874877743e-05,
            1.4863999240333214e-05,
            1.4043000192032196e-05,
            1.3376000424614176e-05,
            3.122399994026637e-05,
            2.9857999834348448e-05,
            2.9961000109324232e-05,
            2.857999970728997e-05,
            2.2926999918126967e-05,
            3.215100059605902e-05,
            3.191799987689592e-05,
            3.1069999749888666e-05,
            3.0529000468959566e-05,
            3.671500053314958e-05,
            3.074799951718887e-05,
            2.897000013035722e-05,
            2.632100040500518e-05,
            2.5918999199348036e-05,
            2.2143000023788773e-05,
            2.8128999474574812e-05,
            3.008699968631845e-05,
            4.166999951848993e-05,
            2.8573000236065127e-05,
            2.4572000256739557e-05,
            2.0896999558317475e-05,
            2.0637000488932244e-05,
            2.0819999917875975e-05,
            1.9002000044565648e-05,
            1.927900029841112e-05,
            1.8818999706127215e-05,
            1.9672999769682065e-05,
            1.9328000234963838e-05,
            1.871800031949533e-05,
            1.7797000509744976e-05,
            2.625800061650807e-05,
            2.712700006668456e-05,
            2.5596999876142945e-05,
            3.6422999983187765e-05,
            2.318600036232965e-05,
            2.7613999918685295e-05,
            3.0483999580610543e-05,
            2.8765000024577603e-05,
            2.771700019366108e-05,
            2.425799993943656e-05,
            2.6532000447332393e-05,
            2.6669999897421803e-05,
            2.571299955889117e-05,
            2.5071000891330186e-05,
            2.165500063711079e-05,
            2.713899993977975e-05,
            2.8996999390074052e-05,
            2.6605000130075496e-05,
            2.7462000616651494e-05,
            2.4250999558717012e-05,
            1.967899970622966e-05,
            2.0634000065911096e-05,
            1.8957000065711327e-05,
            1.8575000467535574e-05,
            1.8163999811804388e-05,
            1.970999983313959e-05,
            2.0055999812029768e-05,
            2.0601999494829215e-05,
            1.9193000298400875e-05,
            1.793999945221003e-05,
            1.9441999938862864e-05,
            2.1089000256324653e-05,
            1.8705999536905438e-05,
            1.834900012909202e-05,
            1.7577000107849017e-05,
            1.881200023490237e-05,
            1.9756000256165862e-05,
            1.9143999452353455e-05,
            1.8368000382906757e-05,
            1.8460000319464598e-05,
            1.8960000488732476e-05,
            2.0744999346788973e-05,
            1.9086999600403942e-05,
            1.8478000129107386e-05,
            1.811199945223052e-05,
            1.9731999600480776e-05,
            1.931000042532105e-05,
            1.8622000425239094e-05,
            1.901700034068199e-05,
            1.7778999790607486e-05,
            1.9404999875405338e-05,
            1.9918999896617606e-05,
            1.850199987529777e-05,
            1.8955000086862128e-05,
            1.7899999875226058e-05,
            2.0078000488865655e-05,
            2.069200036203256e-05,
            1.8358000488660764e-05,
            1.8155999896407593e-05,
            1.8015999557974283e-05,
            2.9101000109221786e-05,
            2.9476000236172695e-05,
            2.830599987646565e-05,
            2.8176000341773033e-05,
            2.2958000045036897e-05,
            3.115599974989891e-05,
            3.190200004610233e-05,
            3.0313999559439253e-05,
            3.1087000024854206e-05,
            2.557600055297371e-05,
            2.5334999918413814e-05,
            2.852299985534046e-05,
            2.5457999981881585e-05,
            2.6003000130003784e-05,
            2.1982000362186227e-05,
            2.821099951688666e-05,
            3.057400044781389e-05,
            2.8786999791918788e-05,
            2.8342999939923175e-05,
            4.8273000174958725e-05,
            1.9970000721514225e-05,
            2.0980000044801272e-05,
            1.932299983309349e-05,
            3.163900055369595e-05,
            1.86099996426492e-05,
            1.9549999706214294e-05,
            2.0002999917778652e-05,
            1.980499928322388e-05,
            1.9439999960013665e-05,
            1.7782999748305883e-05,
            2.5490000552963465e-05,
            2.720500015129801e-05,
            2.6561000595393125e-05,
            2.6208000235783402e-05,
            2.1995999304635916e-05,
            3.0002000130480155e-05,
            2.9185000130382832e-05,
            2.7893999686057214e-05,
            2.8034999559167773e-05,
            2.5735999770404305e-05,
            2.5122000806732103e-05,
            2.8279999241931364e-05,
            2.5377999918418936e-05,
            2.484900051058503e-05,
            2.3564999537484255e-05,
            2.773000051092822e-05,
            2.9908999749750365e-05,
            2.804200084938202e-05,
            2.7706000764737837e-05,
            2.56670000453596e-05,
            2.0213000425428618e-05,
            2.071899962174939e-05,
            1.894899924081983e-05,
            1.886100017145509e-05,
            1.8702000488701742e-05,
            1.97770004888298e-05,
            2.149700048903469e-05,
            1.985099970625015e-05,
            1.9436000002315268e-05,
            1.815699943108484e-05,
            2.0240999219822697e-05,
            1.9578999854275025e-05,
            1.879599949461408e-05,
            1.865600006567547e-05,
            1.7450999621360097e-05,
            1.951000012923032e-05,
            2.042699998128228e-05,
            1.860900010797195e-05,
            1.927599987538997e-05,
            1.809800050978083e-05,
            2.1594999452645425e-05,
            2.098400000249967e-05,
            1.9301000065752305e-05,
            1.8955999621539377e-05,
            1.806599993869895e-05,
            1.9674000213854015e-05,
            2.0125999981246423e-05,
            1.881400021375157e-05,
            2.9677999918931164e-05,
            1.8157999875256792e-05,
            1.9535000319592655e-05,
            1.9783999960054643e-05,
            1.910299943119753e-05,
            1.8476000150258187e-05,
            1.780500042514177e-05,
            2.1050000214017928e-05,
            1.9763999262067955e-05,
            1.8757000361802056e-05,
            1.7821999790612608e-05,
            1.925100059452234e-05
        ],
        "test_time": 0.11083478000000468
    },
    "ormqr_test.py:test_ormqr_cpu_complex64": {
        "operations": [
            4.3855000512849074e-05,
            2.5626000024203677e-05,
            2.1392000235209707e-05,
            2.070600021397695e-05,
            1.7434999790566508e-05,
            3.088300036324654e-05,
            2.8204000045661815e-05,
            2.687600044737337e-05,
            2.7118000616610516e-05,
            2.3629999304830562e-05,
            2.3050999516271986e-05,
            2.5547999939590227e-05,
            2.2604999685427174e-05,
            2.224099989689421e-05,
            2.2300000637187622e-05,
            2.5163000827888027e-05,
            2.678600048966473e-05,
            2.648900044732727e-05,
            2.438100000290433e-05,
            2.275299993925728e-05,
            1.9342999621585477e-05,
            1.9078999685007147e-05,
            1.8945000192616135e-05,
            1.762100055202609e-05,
            1.76029998328886e-05,
            1.8562000150268432e-05,
            1.9035000150324777e-05,
            1.9522000002325512e-05,
            1.906099987536436e-05,
            1.7487000150140375e-05,
            2.245799987576902e-05,
            2.513999970688019e-05,
            2.2575999537366442e-05,
            2.2973999875830486e-05,
            2.079699970636284e-05,
            2.5856999855022877e-05,
            2.694200065889163e-05,
            2.4547000066377223e-05,
            2.5555000320309773e-05,
            2.3114000214263797e-05,
            2.2912999156687874e-05,
            2.5038000785571057e-05,
            2.199000027758302e-05,
            2.1824999748787377e-05,
            2.0186999790894333e-05,
            2.5131000256806146e-05,
            2.607300029922044e-05,
            3.5895000110031106e-05,
            2.4494000172126107e-05,
            2.268699972773902e-05,
            3.134100006718654e-05,
            1.9394999981159344e-05,
            1.772499945218442e-05,
            1.7502999980933964e-05,
            1.927599987538997e-05,
            1.843799964262871e-05,
            1.9381000129214954e-05,
            1.790999976947205e-05,
            1.7305000255873892e-05,
            1.8563000594440382e-05,
            1.8360000467509963e-05,
            1.843900008680066e-05,
            1.8634999833011534e-05,
            1.769299979059724e-05,
            1.7100000150094274e-05,
            2.653800038387999e-05,
            1.9221000002289657e-05,
            1.826799962145742e-05,
            1.74470005731564e-05,
            1.9349000467627775e-05,
            1.8791999536915682e-05,
            1.952599996002391e-05,
            1.7982999452215154e-05,
            1.757600057317177e-05,
            1.816400072129909e-05,
            1.808300021366449e-05,
            1.894999968499178e-05,
            1.8507999811845366e-05,
            1.7614000171306543e-05,
            1.76800003828248e-05,
            1.828600034059491e-05,
            1.9092999536951538e-05,
            1.7604999811737798e-05,
            1.6947999938565772e-05,
            1.9938999685109593e-05,
            1.8838999494619202e-05,
            1.87659998118761e-05,
            1.7916999240696896e-05,
            1.7010000192385633e-05,
            1.833099940995453e-05,
            1.9507000615703873e-05,
            1.9903000065824017e-05,
            2.0093999410164542e-05,
            1.871799941000063e-05,
            1.7444000150135253e-05,
            2.9771000299660955e-05,
            1.9891999727406073e-05,
            1.8822000129148364e-05,
            1.7667999600234907e-05,
            1.939999947353499e-05,
            1.960400004463736e-05,
            2.245900031994097e-05,
            1.8366999938734807e-05,
            1.9178000002284534e-05,
            1.772799987520557e-05,
            1.9481999515846837e-05,
            2.0432999917829875e-05,
            1.6617999790469185e-05,
            1.4201999874785542e-05,
            1.4010000086273067e-05,
            1.5456000255653635e-05,
            1.5026000255602412e-05,
            1.4363999980560038e-05,
            1.4233000001695473e-05,
            1.4928000382496975e-05,
            1.5268999959516805e-05,
            1.5280999832611997e-05,
            1.4257000657380559e-05,
            1.3768000826530624e-05,
            1.3436999324767385e-05,
            1.5073000213305932e-05,
            1.5612999959557783e-05,
            1.4627999917138368e-05,
            1.3900999874749687e-05,
            1.3185999705456197e-05,
            1.5405000340251718e-05,
            1.504299962107325e-05,
            1.971300025616074e-05,
            1.8617999558045994e-05,
            1.4779000593989622e-05,
            1.4905999705661088e-05,
            2.15580002986826e-05,
            1.5921999874990433e-05,
            1.433200031897286e-05,
            1.3760999536316376e-05,
            1.5082000572874676e-05,
            1.5408999388455413e-05,
            1.5449999409611337e-05,
            1.4369999917107634e-05,
            1.3718999980483204e-05,
            1.465800050937105e-05,
            1.6192999282793608e-05,
            1.4339999324874952e-05,
            1.4508000276691746e-05,
            1.3463999493978918e-05,
            2.7719999707187526e-05,
            1.9423000594542827e-05,
            1.4594999811379239e-05,
            1.412799974787049e-05,
            1.5046000044094399e-05,
            1.4725999790243804e-05,
            1.568100014992524e-05,
            1.4909000128682237e-05,
            1.4332999853650108e-05,
            1.367999993817648e-05,
            1.4897000255587045e-05,
            1.5298999642254785e-05,
            1.4337000720843207e-05,
            1.4305000149761327e-05,
            1.3944999409432057e-05,
            1.4916000509401783e-05,
            1.5509999684582e-05,
            1.4413000826607458e-05,
            1.4057000043976586e-05,
            1.4745000044058543e-05,
            1.5015999451861717e-05,
            1.527600034023635e-05,
            1.577600050950423e-05,
            1.5266999980667606e-05,
            1.444000008632429e-05,
            1.4462000763160177e-05,
            1.985500057344325e-05,
            3.545700019458309e-05,
            1.4700000065204222e-05,
            1.3816000318911392e-05,
            1.9585000700317323e-05,
            1.6240999684669077e-05,
            1.4636999367212411e-05,
            1.4319999536382966e-05,
            1.3444000614981633e-05,
            2.9695000193896703e-05,
            3.120400015177438e-05,
            2.940500053227879e-05,
            2.7785999918705784e-05,
            2.2090000129537657e-05,
            3.0123000215098727e-05,
            3.1493000278715044e-05,
            3.0469000193988904e-05,
            3.0432000130531378e-05,
            2.5010999706864823e-05,
            2.6158999389735982e-05,
            3.080199985561194e-05,
            2.758899972832296e-05,
            2.6721000722318422e-05,
            2.1855999875697307e-05,
            2.8106000172556378e-05,
            3.0215999686333816e-05,
            2.829000004567206e-05,
            3.427499996178085e-05,
            2.580599993962096e-05,
            2.0555999981297646e-05,
            2.040900017163949e-05,
            1.9785999938903842e-05,
            2.1302000277501065e-05,
            1.997399976971792e-05,
            1.910499941004673e-05,
            2.0394000785017852e-05,
            2.0141000277362764e-05,
            1.943099960044492e-05,
            1.8195999473391566e-05,
            2.5428999833820853e-05,
            2.7039000087825116e-05,
            2.5407000066479668e-05,
            4.294800055504311e-05,
            2.2676999833493028e-05,
            2.943399977084482e-05,
            3.1042000045999885e-05,
            2.836299972841516e-05,
            2.8608999855350703e-05,
            2.5680000362626743e-05,
            2.433299960102886e-05,
            2.7041999601351563e-05,
            2.560699977038894e-05,
            3.064499924221309e-05,
            2.127800053131068e-05,
            3.667000055429526e-05,
            4.157000057603e-05,
            2.819800010911422e-05,
            2.769799993984634e-05,
            2.391399993939558e-05,
            2.0032000065839384e-05,
            2.059500002360437e-05,
            1.966699983313447e-05,
            1.8667000404093415e-05,
            1.9903999600501265e-05,
            1.9286000679130666e-05,
            2.076500004477566e-05,
            1.98520001504221e-05,
            1.9648000488814432e-05,
            1.8586999431136064e-05,
            2.126500021404354e-05,
            2.050400053121848e-05,
            1.9004000023414847e-05,
            1.9197000256099273e-05,
            1.8385999283054844e-05,
            1.9842000256176107e-05,
            2.0000999938929453e-05,
            1.87659998118761e-05,
            1.9499999325489625e-05,
            1.8407000425213482e-05,
            1.99290007003583e-05,
            2.084300012938911e-05,
            1.8989000636793207e-05,
            1.918700036185328e-05,
            2.0322999262134545e-05,
            2.0080000467714854e-05,
            2.0305999896663707e-05,
            1.921700004459126e-05,
            3.0415999390243087e-05,
            1.8838999494619202e-05,
            1.9127999621559866e-05,
            1.9484999938867986e-05,
            1.9842999790853355e-05,
            1.9115999748464674e-05,
            1.8529000044509303e-05,
            2.0138999389018863e-05,
            1.9863000488840044e-05,
            1.8799999452312477e-05,
            1.963400063687004e-05,
            1.8697999621508643e-05,
            2.827600019372767e-05,
            4.058299964526668e-05,
            2.8802999622712377e-05,
            2.9155000447644852e-05,
            2.247600059490651e-05,
            3.035500049008988e-05,
            3.1864999982644804e-05,
            3.221200040570693e-05,
            3.0121999770926777e-05,
            4.41249994764803e-05,
            2.5594999897293746e-05,
            2.7985000087937806e-05,
            2.5133000235655345e-05,
            2.757499987637857e-05,
            2.2726000679540448e-05,
            3.2996000300045125e-05,
            3.2592999559710734e-05,
            2.95450008707121e-05,
            2.914500055339886e-05,
            3.673999981401721e-05,
            2.1101000129419845e-05,
            2.143300025636563e-05,
            2.1022000510129146e-05,
            2.030300038313726e-05,
            1.8754999473458156e-05,
            2.0438000319700222e-05,
            2.154200046788901e-05,
            1.9661000806081574e-05,
            1.902799976960523e-05,
            2.122799924109131e-05,
            2.5677999474282842e-05,
            2.8120999559178017e-05,
            2.8535000637930352e-05,
            2.5905999791575596e-05,
            2.304600002389634e-05,
            3.6747999729414005e-05,
            3.238299996155547e-05,
            3.619799917942146e-05,
            3.1613999453838915e-05,
            2.6015000003098976e-05,
            2.5830000595306046e-05,
            2.8325999664957635e-05,
            2.5157999516522978e-05,
            3.671500053314958e-05,
            2.261099962197477e-05,
            2.8204999580339063e-05,
            3.061000006709946e-05,
            2.7905000024475157e-05,
            2.850600048986962e-05,
            2.639800004544668e-05,
            2.096899970638333e-05,
            2.10899997910019e-05,
            2.050399962172378e-05,
            2.0973999198758975e-05,
            1.9021000298380386e-05,
            2.0726000002468936e-05,
            2.0350999875518028e-05,
            1.940199945238419e-05,
            1.9363000319572166e-05,
            1.951099966390757e-05,
            1.981999957934022e-05,
            2.08569999813335e-05,
            2.1171999833313748e-05,
            1.958899974852102e-05,
            1.853400044637965e-05,
            2.057799974863883e-05,
            2.198799938923912e-05,
            1.9795000298472587e-05,
            1.8892999833042268e-05,
            1.8278000425198115e-05,
            1.9753000742639415e-05,
            2.025699996011099e-05,
            1.9275000340712722e-05,
            2.019400017161388e-05,
            1.8754999473458156e-05,
            1.9291000171506312e-05,
            2.1028000446676742e-05,
            1.9127999621559866e-05,
            1.882800006569596e-05,
            1.779300055204658e-05,
            2.0659999790950678e-05,
            1.982200046768412e-05,
            1.9064999833062757e-05,
            1.995799993892433e-05,
            1.7862000277091283e-05,
            1.9080000129179098e-05,
            2.0868999854428694e-05,
            1.9258000065747183e-05,
            1.8664999515749514e-05,
            1.763700038281968e-05
        ],
        "test_time": 0.17238642900065315
    },
    "ormqr_test.py:test_ormqr_cpu_float32": {
        "operations": [
            2.873900029953802e-05,
            2.6513999728194904e-05,
            5.175800015422283e-05,
            2.313999993930338e-05,
            2.327599941054359e-05,
            2.9595000341942068e-05,
            2.748500082816463e-05,
            2.5455000468355138e-05,
            2.4975000087579247e-05,
            2.3972000235517044e-05,
            2.3071000214258675e-05,
            2.366800072195474e-05,
            2.292400040460052e-05,
            2.2347000594891142e-05,
            2.066999968519667e-05,
            2.7377999685995746e-05,
            2.6308999622415286e-05,
            2.3995999981707428e-05,
            2.3713999325991608e-05,
            2.2182000066095497e-05,
            1.9033000171475578e-05,
            1.98500001715729e-05,
            1.733699991746107e-05,
            1.6808000509627163e-05,
            1.8633999388839584e-05,
            1.8400000044493936e-05,
            1.8736999663815368e-05,
            1.6954999409790616e-05,
            1.7891999959829263e-05,
            1.7436000234738458e-05,
            2.3065999812388327e-05,
            2.3826999495213386e-05,
            2.3069000235409476e-05,
            2.1067000488983467e-05,
            1.975800023501506e-05,
            2.5541000468365382e-05,
            2.6542999876255635e-05,
            2.4171000404749066e-05,
            2.362099985475652e-05,
            2.1677999939129222e-05,
            2.5282999558839947e-05,
            2.312200012966059e-05,
            2.1811999431520235e-05,
            3.3397999686712865e-05,
            2.0079000023542903e-05,
            2.4334999579878058e-05,
            2.4529000256734435e-05,
            2.4930000108724926e-05,
            2.371499977016356e-05,
            2.236299951619003e-05,
            1.7999999727180693e-05,
            1.9949000488850288e-05,
            1.7684000340523198e-05,
            1.766099921951536e-05,
            1.7259000742342323e-05,
            1.7847000890469644e-05,
            2.188600046792999e-05,
            1.7721000403980725e-05,
            1.6992999917420093e-05,
            1.7704000129015185e-05,
            1.8664999515749514e-05,
            1.887199960037833e-05,
            1.7094999748223927e-05,
            1.666000025579706e-05,
            1.7160000425064936e-05,
            1.8606000594445504e-05,
            1.909200000227429e-05,
            1.6598000001977198e-05,
            1.6105000213428866e-05,
            1.8349999663769267e-05,
            1.74449996848125e-05,
            1.842300025600707e-05,
            1.6708999282855075e-05,
            1.8573000488686375e-05,
            3.502400068100542e-05,
            1.8742999600362964e-05,
            1.9487999452394433e-05,
            1.66689997058711e-05,
            2.4259999918285757e-05,
            1.7917999684868846e-05,
            1.79130001924932e-05,
            1.8570999600342475e-05,
            1.763599993864773e-05,
            1.738500031933654e-05,
            1.7112999557866715e-05,
            1.794499985408038e-05,
            4.969000019627856e-05,
            1.788400004443247e-05,
            1.6474999938509427e-05,
            1.7299999854003545e-05,
            1.8663999981072266e-05,
            6.256100004975451e-05,
            2.1284000467858277e-05,
            1.8353000086790416e-05,
            1.8155999896407593e-05,
            1.8677000298339408e-05,
            1.9481999515846837e-05,
            1.779000012902543e-05,
            1.7297000340477098e-05,
            1.8466999790689442e-05,
            1.8476999684935436e-05,
            1.8974999875354115e-05,
            1.7596000361663755e-05,
            1.8636000277183484e-05,
            1.8273999558005016e-05,
            1.880799936770927e-05,
            1.890700059448136e-05,
            1.9027000234927982e-05,
            1.9736000467673875e-05,
            1.810100002330728e-05,
            1.8447000002197456e-05,
            2.034499993897043e-05,
            1.825300023483578e-05,
            1.7002999811666086e-05,
            1.7176000255858526e-05,
            2.9073999940010253e-05,
            1.9529999917722307e-05,
            1.687300027697347e-05,
            1.5444000382558443e-05,
            1.5470999642275274e-05,
            2.6591000278131105e-05,
            1.912100015033502e-05,
            1.6805000086606015e-05,
            1.619300019228831e-05,
            1.744399924064055e-05,
            1.6214999959629495e-05,
            1.5837999853829388e-05,
            1.4345999261422548e-05,
            1.4211000234354287e-05,
            1.3541000043915119e-05,
            1.4608000128646381e-05,
            1.5126000107557047e-05,
            1.479599995946046e-05,
            1.684200015006354e-05,
            1.502599934610771e-05,
            1.529200017102994e-05,
            1.501299993833527e-05,
            1.423699995939387e-05,
            1.3386999853537418e-05,
            1.462700038246112e-05,
            1.4444999578699935e-05,
            1.9490999875415582e-05,
            1.553699985379353e-05,
            1.5659000382584054e-05,
            1.6721999600122217e-05,
            1.7859000763564836e-05,
            1.541600067866966e-05,
            1.5714999790361617e-05,
            1.5180999980657361e-05,
            1.4002000170876272e-05,
            1.5082000572874676e-05,
            1.4829999599896837e-05,
            1.5135000467125792e-05,
            1.357000019197585e-05,
            1.3191000107326545e-05,
            1.408099979016697e-05,
            1.4735999684489798e-05,
            1.3838000086252578e-05,
            1.411300036124885e-05,
            1.3158000001567416e-05,
            1.456099926144816e-05,
            1.5081000128702726e-05,
            1.3801000022795051e-05,
            1.3734999811276793e-05,
            1.408500065736007e-05,
            1.6476999917358626e-05,
            1.6399000742239878e-05,
            1.4672999895992689e-05,
            1.4903000192134641e-05,
            1.8677000298339408e-05,
            1.571500069985632e-05,
            1.6676999621267896e-05,
            1.609700029803207e-05,
            1.6553000023122877e-05,
            1.7299000319326296e-05,
            1.4305000149761327e-05,
            1.5112000255612656e-05,
            1.5040999642224051e-05,
            1.3906999811297283e-05,
            1.3353999747778289e-05,
            2.8874000236100983e-05,
            2.8590000511030667e-05,
            2.6447999516676646e-05,
            3.754899989871774e-05,
            2.227100048912689e-05,
            2.789900008792756e-05,
            3.103800008830149e-05,
            2.909599970735144e-05,
            2.8218999432283454e-05,
            2.3904000045149587e-05,
            2.4728999960643705e-05,
            2.507799945306033e-05,
            2.4635999579913914e-05,
            2.6044999685836956e-05,
            2.3057000362314284e-05,
            2.7329999284120277e-05,
            2.9956999242131133e-05,
            2.750000021478627e-05,
            2.745100027823355e-05,
            2.3268000404641498e-05,
            1.9654000425362028e-05,
            2.0103999304410536e-05,
            1.8818999706127215e-05,
            1.8078000721288845e-05,
            1.9086999600403942e-05,
            1.9020999388885684e-05,
            2.0264999875507783e-05,
            1.8556999748398084e-05,
            3.568700049072504e-05,
            2.1423000362119637e-05,
            3.2373999601986725e-05,
            2.7644000510917976e-05,
            2.5432000256842002e-05,
            2.5438000193389598e-05,
            2.1349000235204585e-05,
            2.742099968600087e-05,
            2.850399960152572e-05,
            2.7194000722374767e-05,
            2.8243999622645788e-05,
            2.4025999664445408e-05,
            2.4660000235599e-05,
            2.5878999622364063e-05,
            2.4676999601069838e-05,
            2.4060000214376487e-05,
            2.0948999917891342e-05,
            2.693999977054773e-05,
            2.8245000066817738e-05,
            4.2439000026206486e-05,
            2.8634999580390286e-05,
            2.4281999685626943e-05,
            1.996100036194548e-05,
            2.104400027747033e-05,
            1.872099983302178e-05,
            1.801899998099543e-05,
            2.0374999621708412e-05,
            1.8963000002258923e-05,
            1.9983000129286665e-05,
            1.8136000107915606e-05,
            1.8605000150273554e-05,
            1.791399972717045e-05,
            1.9422000150370877e-05,
            1.9594999685068615e-05,
            1.8497000382922124e-05,
            1.8245999854116235e-05,
            1.9239999346609693e-05,
            1.907699970615795e-05,
            1.958599932549987e-05,
            1.786800021363888e-05,
            1.8797999473463278e-05,
            1.769800019246759e-05,
            2.092400063702371e-05,
            1.9580000298446976e-05,
            1.9252999663876835e-05,
            1.797499953681836e-05,
            1.788099962141132e-05,
            1.8916000044555403e-05,
            1.9912000425392762e-05,
            1.823999991756864e-05,
            1.7686999854049645e-05,
            1.778800015017623e-05,
            1.9103000340692233e-05,
            1.9320999854244292e-05,
            1.8089000150212087e-05,
            1.7473999832873233e-05,
            1.7637999917496927e-05,
            1.898700065794401e-05,
            1.8726000234892126e-05,
            1.7737000234774314e-05,
            1.9209999663871713e-05,
            1.8760000784823205e-05,
            2.5966000066546258e-05,
            2.7291000151308253e-05,
            2.6757999876281247e-05,
            2.5336999897263013e-05,
            2.145100006600842e-05,
            2.909700015152339e-05,
            2.976399991894141e-05,
            2.912800027843332e-05,
            2.8716000088024884e-05,
            2.546599989727838e-05,
            2.4728999960643705e-05,
            2.760900042630965e-05,
            2.5397999706910923e-05,
            2.472300002409611e-05,
            2.1532999198825564e-05,
            2.807200053212e-05,
            2.9531999643950257e-05,
            2.7324000257067382e-05,
            2.757400034170132e-05,
            2.5272000129916705e-05,
            1.9365000298421364e-05,
            2.073900031973608e-05,
            2.0170000425423495e-05,
            1.878100010799244e-05,
            1.806599993869895e-05,
            1.992800025618635e-05,
            2.0776999917870853e-05,
            1.8731000636762474e-05,
            1.818000055209268e-05,
            1.8276999981026165e-05,
            2.4730999939492904e-05,
            2.6557999262877274e-05,
            2.4556000425945967e-05,
            2.363299972785171e-05,
            2.2520999664266128e-05,
            2.7166999643668532e-05,
            4.5324999518925324e-05,
            2.81490001725615e-05,
            2.70649998128647e-05,
            2.5902999368554447e-05,
            2.531000063754618e-05,
            2.6931999855150934e-05,
            2.5082999854930677e-05,
            2.4693999876035377e-05,
            2.1344999368011486e-05,
            2.866300019377377e-05,
            2.8421000024536625e-05,
            2.676900021469919e-05,
            2.6464000256964937e-05,
            2.5010000172187574e-05,
            1.9613999938883353e-05,
            2.247500015073456e-05,
            2.0624000171665102e-05,
            1.8787000044540036e-05,
            1.828399945225101e-05,
            1.9273000361863524e-05,
            2.1563000700552948e-05,
            1.8918000023404602e-05,
            1.8310000086785294e-05,
            1.794099989638198e-05,
            2.0684999981313013e-05,
            1.9690000044647604e-05,
            1.8187000023317523e-05,
            1.803499981178902e-05,
            1.770799917721888e-05,
            1.9379000150365755e-05,
            2.0043000404257327e-05,
            1.826999960030662e-05,
            1.9875999896612484e-05,
            2.0310999389039353e-05,
            1.896899993880652e-05,
            1.9748000340769067e-05,
            1.8636000277183484e-05,
            1.960200006578816e-05,
            1.8278999959875364e-05,
            1.8650000129127875e-05,
            1.9724000594578683e-05,
            1.9439000425336417e-05,
            1.842500023485627e-05,
            1.7827999727160204e-05,
            1.845499991759425e-05,
            3.0281999897852074e-05,
            1.8319999981031287e-05,
            1.7821999790612608e-05,
            1.751099989633076e-05,
            2.1214000298641622e-05,
            2.0041999960085377e-05,
            1.823699949454749e-05,
            1.7845000002125744e-05,
            1.775599957909435e-05
        ],
        "test_time": 0.14582279899968853
    },
    "ormqr_test.py:test_ormqr_cpu_float64": {
        "operations": [
            3.0388000595849007e-05,
            2.7278000743535813e-05,
            2.5801000447245315e-05,
            2.436399972793879e-05,
            2.08589999601827e-05,
            2.5997000193456188e-05,
            2.628599941090215e-05,
            2.6153000362683088e-05,
            2.4556000425945967e-05,
            2.2387000171875115e-05,
            2.475300061632879e-05,
            2.3167000108514912e-05,
            2.1761999960290268e-05,
            2.1378000383265316e-05,
            1.9752999833144713e-05,
            2.4941999981820118e-05,
            2.6004000574175734e-05,
            2.7787999897554982e-05,
            2.4138999833667185e-05,
            2.332499934709631e-05,
            1.8357999579166062e-05,
            1.957200038305018e-05,
            1.7188000128953718e-05,
            1.831800000218209e-05,
            1.7811999896366615e-05,
            1.7778000255930237e-05,
            1.893499938887544e-05,
            1.763399995979853e-05,
            1.747799979057163e-05,
            1.7469000340497587e-05,
            2.2803000319981948e-05,
            2.304800000274554e-05,
            2.2320999960356858e-05,
            2.118600059475284e-05,
            2.0157000108156353e-05,
            2.7735000003303867e-05,
            2.5647999791544862e-05,
            2.3331000193138607e-05,
            2.278099964314606e-05,
            2.194800072174985e-05,
            2.2404999981517904e-05,
            2.2679000721836928e-05,
            2.0862999917881098e-05,
            2.0536999727482907e-05,
            2.144700010831002e-05,
            2.51239998760866e-05,
            2.5147000087599736e-05,
            2.379000034125056e-05,
            2.41960005951114e-05,
            2.203799976996379e-05,
            3.7881000025663525e-05,
            1.9809999685094226e-05,
            1.7871999261842575e-05,
            1.7264999769395217e-05,
            1.6961000255832914e-05,
            1.7265999304072466e-05,
            1.845499991759425e-05,
            1.836499995988561e-05,
            1.6855000467330683e-05,
            1.712199991743546e-05,
            1.7512999875179958e-05,
            1.9719999727385584e-05,
            1.7346999811707065e-05,
            1.671599966357462e-05,
            1.7127000319305807e-05,
            1.7431000742362812e-05,
            1.9876999431289732e-05,
            1.7205000403919257e-05,
            1.6606000826868694e-05,
            1.712199991743546e-05,
            1.83000001925393e-05,
            1.924199932545889e-05,
            1.694899947324302e-05,
            1.6558999959670473e-05,
            1.715500002319459e-05,
            1.769399932527449e-05,
            1.913699998112861e-05,
            1.7196000044350512e-05,
            1.6824000340420753e-05,
            1.6976000551949255e-05,
            1.8620999981067143e-05,
            1.8528000509832054e-05,
            1.668499953666469e-05,
            1.652200080570765e-05,
            1.714999962132424e-05,
            1.8875999558076728e-05,
            1.912600055220537e-05,
            1.695300034043612e-05,
            1.653500021348009e-05,
            1.893900025606854e-05,
            1.9424999663897324e-05,
            1.9337000594532583e-05,
            1.7981000382860657e-05,
            1.7673999536782503e-05,
            1.70579996847664e-05,
            1.927700031956192e-05,
            1.890600015030941e-05,
            1.753599917719839e-05,
            1.7436999769415706e-05,
            2.8839000151492655e-05,
            1.8142000044463202e-05,
            1.9099000382993836e-05,
            1.7531000594317447e-05,
            1.7235999621334486e-05,
            1.864299974840833e-05,
            1.8753999938780908e-05,
            2.2072999854572117e-05,
            1.8445000023348257e-05,
            1.825399976951303e-05,
            1.7263999325223267e-05,
            1.8224999621452298e-05,
            1.907499972730875e-05,
            1.826900006562937e-05,
            1.750899991748156e-05,
            1.709200023469748e-05,
            1.8046000150206964e-05,
            1.898700065794401e-05,
            1.8541999452281743e-05,
            1.769700065779034e-05,
            1.729399991745595e-05,
            1.817700012907153e-05,
            1.9766000150411855e-05,
            1.6276000678772107e-05,
            1.5732000065327156e-05,
            1.3543999557441566e-05,
            1.5065999832586385e-05,
            1.6080000023066532e-05,
            1.437499940948328e-05,
            1.3493000551534351e-05,
            1.3808000403514598e-05,
            1.4616000044043176e-05,
            1.4647000170953106e-05,
            1.4543000361300074e-05,
            1.330499981122557e-05,
            1.34920001073624e-05,
            1.4360000022861641e-05,
            1.4463999832514673e-05,
            1.3270000636111945e-05,
            1.4291999832494184e-05,
            1.3980000403535087e-05,
            1.3949999811302405e-05,
            1.5044999599922448e-05,
            1.3689000297745224e-05,
            1.3403000593825709e-05,
            1.4600000213249587e-05,
            1.4508000276691746e-05,
            1.4348000149766449e-05,
            1.3947999832453206e-05,
            1.4314000509330072e-05,
            1.3453999599732924e-05,
            1.4131999705568887e-05,
            1.5020999853732064e-05,
            1.3826999747834634e-05,
            1.305800014961278e-05,
            1.3335999938135501e-05,
            1.4837999515293632e-05,
            1.4782000107516069e-05,
            1.3312000191945117e-05,
            1.3177999790059403e-05,
            1.3196000509196892e-05,
            1.3806999959342647e-05,
            1.528899974800879e-05,
            1.3687999853573274e-05,
            1.330599934590282e-05,
            1.3283000043884385e-05,
            1.8327999896428082e-05,
            3.8811000194982626e-05,
            1.935599993885262e-05,
            1.533700014988426e-05,
            1.5464999705727678e-05,
            1.9809999685094226e-05,
            1.53499995576567e-05,
            1.3464999938150868e-05,
            1.319700004387414e-05,
            1.3404000128502958e-05,
            1.4303999705589376e-05,
            1.5779000023030676e-05,
            1.4116999409452546e-05,
            1.3733999367104843e-05,
            1.3347000276553445e-05,
            3.539099998306483e-05,
            3.2035000003816094e-05,
            3.018000006704824e-05,
            2.778999987640418e-05,
            2.3522999981651083e-05,
            3.232200015190756e-05,
            3.345700042700628e-05,
            3.1818000024941284e-05,
            4.1165999391523656e-05,
            2.7091000447398983e-05,
            2.9164999432396144e-05,
            2.9336999432416633e-05,
            2.5968000045395456e-05,
            2.709099953790428e-05,
            2.313999993930338e-05,
            2.998200034198817e-05,
            3.354599994054297e-05,
            3.9137999920058064e-05,
            3.0469999728666153e-05,
            2.7398000383982435e-05,
            2.1625999579555355e-05,
            2.1539000044867862e-05,
            1.996199989662273e-05,
            1.9461000192677602e-05,
            2.228900029876968e-05,
            2.0125000446569175e-05,
            2.112200036208378e-05,
            1.968500055227196e-05,
            1.997299932554597e-05,
            1.9566999981179833e-05,
            2.6155000341532286e-05,
            2.8921000193804502e-05,
            2.6312999580113683e-05,
            2.591700012999354e-05,
            2.250299985462334e-05,
            2.960900019388646e-05,
            3.182000000379048e-05,
            3.2140999792318325e-05,
            3.0111999876680784e-05,
            2.641399987624027e-05,
            2.7101999876322225e-05,
            2.729499919951195e-05,
            2.6976999834005255e-05,
            2.4992999897222035e-05,
            2.3211000552691985e-05,
            3.0375000278581865e-05,
            3.180699968652334e-05,
            3.069499962293776e-05,
            2.8937000024598092e-05,
            2.729500010900665e-05,
            2.177300029870821e-05,
            2.1646000277542043e-05,
            2.0247999600542244e-05,
            1.9360999431228265e-05,
            2.0530000256258063e-05,
            2.1983000806358177e-05,
            2.1068000023660716e-05,
            1.9337000594532583e-05,
            1.986600000236649e-05,
            1.9056999917665962e-05,
            2.0345000848465133e-05,
            2.29560000661877e-05,
            1.9875000361935236e-05,
            1.9120000615657773e-05,
            1.9723000150406733e-05,
            2.239299919892801e-05,
            2.1382999875640962e-05,
            2.0630000108212698e-05,
            1.9253000573371537e-05,
            1.9574999896576628e-05,
            2.037800004472956e-05,
            2.0966000192856882e-05,
            1.9686000086949207e-05,
            2.003499957936583e-05,
            1.942899962159572e-05,
            2.0950000362063292e-05,
            2.0353000763861928e-05,
            1.999200048885541e-05,
            1.9271000383014325e-05,
            2.079699970636284e-05,
            2.1304000256350264e-05,
            2.154100002371706e-05,
            1.976000021386426e-05,
            1.9912000425392762e-05,
            1.963099930435419e-05,
            2.0526000298559666e-05,
            2.1590999494947027e-05,
            2.0118999600526877e-05,
            1.8996000108018052e-05,
            1.97770004888298e-05,
            2.9755000468867365e-05,
            2.9789000109303743e-05,
            2.835200029949192e-05,
            2.8262999876460526e-05,
            4.8011000217229594e-05,
            3.419400036364095e-05,
            3.520099926390685e-05,
            3.195299996150425e-05,
            3.1724000109534245e-05,
            2.7580999812926166e-05,
            2.7455999770609196e-05,
            2.986899926327169e-05,
            2.649100042617647e-05,
            2.7222999960940797e-05,
            2.4042999939410947e-05,
            3.241099966544425e-05,
            3.255499996157596e-05,
            3.09450006170664e-05,
            3.064299926336389e-05,
            2.769900038401829e-05,
            2.1476000256370753e-05,
            2.175899953726912e-05,
            2.1081999875605106e-05,
            2.009800027735764e-05,
            1.9806999262073077e-05,
            2.102899998135399e-05,
            2.2371000341081526e-05,
            1.9998999960080255e-05,
            2.029999996011611e-05,
            2.255199979117606e-05,
            2.7097999918623827e-05,
            2.842800040525617e-05,
            2.596200010884786e-05,
            2.6648999664757866e-05,
            2.284499987581512e-05,
            3.0455999876721762e-05,
            3.274500068073394e-05,
            3.176000063831452e-05,
            2.921900068031391e-05,
            2.9570999686256982e-05,
            2.6980999791703653e-05,
            3.853599991998635e-05,
            2.6728999728220515e-05,
            2.6888000320468564e-05,
            2.3083000087353867e-05,
            2.9644999813172035e-05,
            3.1863999538472854e-05,
            3.041299987671664e-05,
            3.0410000363190193e-05,
            2.6155999876209535e-05,
            2.1070999537187163e-05,
            2.2234999960346613e-05,
            2.0089999452466145e-05,
            2.0652000785048585e-05,
            2.2720000742992852e-05,
            2.157300059479894e-05,
            2.2277999960351735e-05,
            2.0250000488886144e-05,
            1.9350999536982272e-05,
            2.0172000404272694e-05,
            2.0989000404370017e-05,
            2.172699987568194e-05,
            2.115099960064981e-05,
            1.9838999833154958e-05,
            1.9785000404226594e-05,
            2.051899991784012e-05,
            2.1453000044857617e-05,
            1.9832999896607362e-05,
            2.0057000256201718e-05,
            3.998300053353887e-05,
            2.1351999748731032e-05,
            2.1220000235189218e-05,
            2.0871000742772594e-05,
            1.999199957936071e-05,
            2.0916999346809462e-05,
            2.0561000383167993e-05,
            2.109100023517385e-05,
            1.9701999917742796e-05,
            2.0444999790925067e-05,
            1.978900036192499e-05,
            2.0886000129394233e-05,
            2.1462000404426362e-05,
            2.061400027741911e-05,
            1.958499979082262e-05,
            2.01599996216828e-05,
            2.254999981232686e-05,
            2.1365999600675423e-05,
            2.1100999219925143e-05,
            1.9486999917717185e-05,
            1.9578000319597777e-05
        ],
        "test_time": 0.09548451800037583
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_cpu_complex128": {
        "operations": [],
        "test_time": 0.03936834900014219
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_cpu_complex64": {
        "operations": [],
        "test_time": 0.035978017000161344
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_cpu_float32": {
        "operations": [],
        "test_time": 0.03530417700039834
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_cpu_float64": {
        "operations": [],
        "test_time": 0.0352006490002168
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_xla_complex128": {
        "operations": [],
        "test_time": 218.58879468899977
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_xla_complex64": {
        "operations": [],
        "test_time": 233.88980411500052
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_xla_float32": {
        "operations": [],
        "test_time": 84.33252478400027
    },
    "ormqr_test.py:test_ormqr_errors_and_warnings_xla_float64": {
        "operations": [],
        "test_time": 85.40476004100128
    },
    "ormqr_test.py:test_ormqr_xla_complex128": {
        "operations": [
            0.01952043900018907
        ],
        "test_time": 43.55641083500086
    },
    "ormqr_test.py:test_ormqr_xla_complex64": {
        "operations": [
            0.005908501998419524
        ],
        "test_time": 43.340849501000775
    },
    "ormqr_test.py:test_ormqr_xla_float32": {
        "operations": [
            11.176217350001025
        ],
        "test_time": 101.31126540599871
    },
    "ormqr_test.py:test_ormqr_xla_float64": {
        "operations": [
            11.04904787400119
        ],
        "test_time": 100.52041194399862
    },
    "randperm_test.py:test_randperm_cpu": {
        "operations": [
            8.549800077162217e-05,
            4.204399920126889e-05,
            1.6052999853855e-05,
            1.1153999366797507e-05,
            1.1361998986103572e-05,
            8.447001164313406e-06,
            1.4117000318947248e-05,
            9.994000720325857e-06,
            1.6572999811614864e-05,
            1.2421998690115288e-05,
            1.1967998943873681e-05,
            9.643999874242581e-06,
            1.7750000552041456e-05,
            9.290999514632858e-06,
            1.3870998373022303e-05,
            9.800000043469481e-06,
            0.0018349900001339847,
            0.0012319250017753802,
            0.0011263449996476993,
            0.0012662780009122798,
            0.002679041001101723,
            0.002761561998340767,
            0.002382052000029944,
            0.002351708999412949,
            2.147799932572525e-05,
            0.00023552499987999909,
            1.2644999515032396e-05,
            1.5061999874887988e-05,
            2.1689000277547166e-05,
            7.978800022101495e-05,
            0.6721306970011938,
            2.3499927570010186,
            5.832499846292194e-05,
            1.800499921955634e-05,
            1.3368000509217381e-05,
            9.819999831961468e-06,
            9.936000424204394e-06,
            9.403000149177387e-06,
            9.290999514632858e-06,
            8.404000254813582e-06,
            1.0289999408996664e-05,
            8.502000127919018e-06
        ],
        "test_time": 3.189132734998566
    },
    "randperm_test.py:test_randperm_device_compatibility_cpu": {
        "operations": [],
        "test_time": 0.0014199179986462696
    },
    "randperm_test.py:test_randperm_device_compatibility_xla": {
        "operations": [],
        "test_time": 0.007359463001193944
    },
    "randperm_test.py:test_randperm_xla": {
        "operations": [
            0.025103238000156125,
            0.00486151099903509,
            0.013227927000116324,
            0.003032464999705553,
            0.021062461999463267,
            0.003210186001524562,
            0.016782398999566794,
            0.004123440001421841,
            0.027536260999113438,
            0.003345589000673499,
            0.027002226999684353,
            0.003088686999035417,
            0.03663182700074685,
            0.004489582999667618,
            0.02930017700055032,
            0.004511927998464671,
            0.003767004000110319,
            0.02503251600137446,
            4.3607000407064334e-05,
            0.02019760899929679,
            0.019535412000550423,
            0.019221624999772757,
            0.634385666999151,
            2.123130815998593,
            0.023439538999809884,
            0.02160657300009916,
            0.003511932000037632,
            0.003214881999156205,
            0.023281785001017852,
            0.02270232500086422,
            0.02153169599841931,
            0.003685018000396667,
            0.021753763998276554,
            0.0036450259995035594
        ],
        "test_time": 15.793777245000456
    },
    "range_test.py:test_range_cpu": {
        "operations": [
            0.00012619699919014238,
            2.3125001462176442e-05,
            6.0739999753423035e-05,
            1.4426999769057147e-05,
            1.1260000974289142e-05,
            9.051000233739614e-06
        ],
        "test_time": 0.002385571000559139
    },
    "range_test.py:test_range_warning_cpu": {
        "operations": [
            5.028800114814658e-05
        ],
        "test_time": 0.0010901860005105846
    },
    "range_test.py:test_range_warning_xla": {
        "operations": [
            0.003599605999625055
        ],
        "test_time": 0.00463095699888072
    },
    "range_test.py:test_range_xla": {
        "operations": [
            0.0041183650009770645,
            0.012328720000368776,
            0.022847275000458467,
            0.002922614999988582,
            0.0022635730001638876,
            0.02232719499988889
        ],
        "test_time": 0.1972281970010954
    },
    "register_parameter_test.py:test_add_module_raises_error_if_attr_exists_cpu": {
        "operations": [
            5.621600030281115e-05,
            1.2941000022692606e-05
        ],
        "test_time": 0.0016351969989045756
    },
    "register_parameter_test.py:test_add_module_raises_error_if_attr_exists_xla": {
        "operations": [
            2.2817999706603587e-05,
            1.2300999514991418e-05
        ],
        "test_time": 0.0012422550007613609
    },
    "register_parameter_test.py:test_register_buffer_raises_error_if_attr_exists_cpu": {
        "operations": [
            2.3849001081543975e-05
        ],
        "test_time": 0.0011769940010708524
    },
    "register_parameter_test.py:test_register_buffer_raises_error_if_attr_exists_xla": {
        "operations": [
            2.2889000319992192e-05
        ],
        "test_time": 0.0011637219995463965
    },
    "register_parameter_test.py:test_register_parameter_allows_overwriting_with_same_name_cpu": {
        "operations": [
            1.2263000826351345e-05,
            9.351999324280769e-06,
            6.764999852748588e-06
        ],
        "test_time": 0.0015889930000412278
    },
    "register_parameter_test.py:test_register_parameter_allows_overwriting_with_same_name_xla": {
        "operations": [
            1.1217000064789318e-05,
            8.474000424030237e-06,
            7.94200059317518e-06
        ],
        "test_time": 0.0014627900000050431
    },
    "register_parameter_test.py:test_register_parameter_raises_error_if_attr_exists_cpu": {
        "operations": [],
        "test_time": 0.0010738649998529581
    },
    "register_parameter_test.py:test_register_parameter_raises_error_if_attr_exists_xla": {
        "operations": [],
        "test_time": 0.0011757169995689765
    },
    "register_parameter_test.py:test_register_parameter_raises_error_if_name_is_not_string_cpu": {
        "operations": [],
        "test_time": 0.001470249000703916
    },
    "register_parameter_test.py:test_register_parameter_raises_error_if_name_is_not_string_xla": {
        "operations": [],
        "test_time": 0.0011079810010414803
    },
    "relaxedonehotcategorical_test.py:test_argmax_relaxed_categorical_cpu": {
        "operations": [
            0.00043567500142671634,
            0.00036848099989583716
        ],
        "test_time": 0.06733492400053365
    },
    "relaxedonehotcategorical_test.py:test_argmax_relaxed_categorical_xla": {
        "operations": [],
        "test_time": 0.28097401000013633
    },
    "relaxedonehotcategorical_test.py:test_mode_cpu": {
        "operations": [],
        "test_time": 0.0023610709995409707
    },
    "relaxedonehotcategorical_test.py:test_mode_xla": {
        "operations": [],
        "test_time": 0.00202228499983903
    },
    "relaxedonehotcategorical_test.py:test_params_constraints": {
        "operations": [],
        "test_time": 0.0042134619998250855
    },
    "relaxedonehotcategorical_test.py:test_relaxed_one_hot_categorical_1d_cpu": {
        "operations": [
            0.00046681899948453065,
            0.0004171290001977468,
            0.0004141059998801211,
            0.00042243700045219157
        ],
        "test_time": 0.0125500859994645
    },
    "relaxedonehotcategorical_test.py:test_relaxed_one_hot_categorical_1d_xla": {
        "operations": [
            0.019805353000265313,
            0.017567508000865928,
            0.016724189999877126,
            0.015725885999927414
        ],
        "test_time": 101.06608172300002
    },
    "relaxedonehotcategorical_test.py:test_relaxed_one_hot_categorical_2d_cpu": {
        "operations": [
            0.0005041580006945878,
            0.0003421620003791759,
            0.0003447189992584754
        ],
        "test_time": 0.3775890110009641
    },
    "relaxedonehotcategorical_test.py:test_relaxed_one_hot_categorical_2d_xla": {
        "operations": [
            0.08578983000006701,
            0.016919239998969715,
            0.015464374999282882
        ],
        "test_time": 220.19769530099984
    },
    "reset_running_stats_test.py:test_batchnorm_simple_average_cpu_bfloat16": {
        "operations": [
            2.9679000363103114e-05,
            2.562000008765608e-05
        ],
        "test_time": 0.005613577999611152
    },
    "reset_running_stats_test.py:test_batchnorm_simple_average_cpu_float32": {
        "operations": [
            2.6592999347485602e-05,
            2.554700040491298e-05
        ],
        "test_time": 0.004525807999016251
    },
    "reset_running_stats_test.py:test_batchnorm_simple_average_xla_bfloat16": {
        "operations": [
            0.0017504509996797424,
            0.00011984900083916727
        ],
        "test_time": 324.96212701700097
    },
    "reset_running_stats_test.py:test_batchnorm_simple_average_xla_float32": {
        "operations": [
            0.00011878000077558681,
            0.00012363200039544608
        ],
        "test_time": 323.7543445809988
    },
    "round_test.py:test_rounding_cpu": {
        "operations": [
            9.178899927064776e-05,
            1.012599932437297e-05
        ],
        "test_time": 0.001484889999119332
    },
    "round_test.py:test_rounding_xla": {
        "operations": [
            4.441899909579661e-05,
            2.756200046860613e-05
        ],
        "test_time": 0.03201690799869539
    },
    "saddmm_test.py:test_saddmm_cpu_complex128": {
        "operations": [
            0.00033366800016665366,
            6.306000068434514e-05,
            9.317399963038042e-05,
            0.00011759600056393538,
            0.00016748699999880046,
            0.00022037300004740246,
            7.734900100331288e-05,
            3.74489991372684e-05,
            4.161600008956157e-05,
            5.209200026001781e-05,
            3.529899913701229e-05,
            3.3692000215523876e-05,
            0.00016614200103504118,
            0.00010990900045726448,
            0.00016109300122479908,
            0.00015585700020892546,
            0.00018741399981081486,
            0.00027296699954604264,
            7.881999954406638e-05,
            4.146100036450662e-05,
            4.88540008518612e-05,
            0.0001298850002058316,
            4.612900011125021e-05,
            4.422900019562803e-05
        ],
        "test_time": 0.12582189699969604
    },
    "saddmm_test.py:test_saddmm_cpu_float64": {
        "operations": [
            6.573499922524206e-05,
            6.8788998760283e-05,
            7.142200047383085e-05,
            0.00010542400013946462,
            0.00012574500033224467,
            0.000140812000609003,
            4.9121999836643226e-05,
            3.293100053269882e-05,
            3.7335999877541326e-05,
            4.567799987853505e-05,
            3.4503000279073603e-05,
            3.127099989796989e-05,
            0.00012690900075540412,
            9.54610004555434e-05,
            0.00012890799916931428,
            0.00016024899923650082,
            0.00016240200056927279,
            0.0003025959995284211,
            5.699199937225785e-05,
            3.90820005122805e-05,
            4.674400042858906e-05,
            6.151599882286973e-05,
            4.5667000449611805e-05,
            4.583000009006355e-05
        ],
        "test_time": 0.14293903799989494
    },
    "saddmm_test.py:test_saddmm_xla_complex128": {
        "operations": [],
        "test_time": 36.38144261399975
    },
    "saddmm_test.py:test_saddmm_xla_float64": {
        "operations": [],
        "test_time": 21.857822283000132
    },
    "size_test.py:test_mm_cpu_complex128": {
        "operations": [
            1.1382999218767509e-05,
            3.3640008041402325e-06,
            1.5139994502533227e-06,
            9.466999472351745e-06,
            3.465998815954663e-06,
            2.050999682978727e-06,
            8.409999281866476e-06,
            2.3360007617156953e-06,
            1.5200002962956205e-06,
            7.42900010664016e-06,
            2.3430002329405397e-06,
            1.4670004020445049e-06,
            6.928999937372282e-06,
            2.140001015504822e-06,
            1.4739998732693493e-06,
            6.574999133590609e-06,
            1.946000338648446e-06,
            1.4739998732693493e-06,
            6.0709990066243336e-06,
            2.1579999156529084e-06,
            1.460999556002207e-06,
            6.009000571793877e-06,
            2.0980005501769483e-06,
            1.4750003174412996e-06,
            6.199999916134402e-06,
            1.9740000425372273e-06,
            1.5109999367268756e-06,
            6.12599978921935e-06,
            2.0900006347801536e-06,
            1.4849993021925911e-06,
            6.10999995842576e-06,
            2.1039995772298425e-06,
            1.5599998732795939e-06,
            6.652000593021512e-06,
            2.077998942695558e-06,
            1.4879988157190382e-06,
            6.013000529492274e-06,
            2.2169988369569182e-06,
            1.389000317431055e-06,
            6.846001269877888e-06,
            2.184000550187193e-06,
            1.4189990906743333e-06,
            6.18800004303921e-06,
            2.017999577219598e-06,
            1.422000423190184e-06,
            6.411999493138865e-06,
            2.3119991965359077e-06,
            1.6350004443665966e-06,
            6.5469994297018275e-06,
            1.9330000213813037e-06,
            1.45800004247576e-06,
            7.249000191222876e-06,
            2.8559989004861563e-06,
            1.880000127130188e-06,
            6.0420006775530055e-06,
            2.038999809883535e-06,
            1.5170007827691734e-06,
            7.405000360449776e-06,
            2.893999408115633e-06,
            2.0650004444178194e-06,
            6.238000423763879e-06,
            2.2240001271711662e-06,
            1.7500005924375728e-06
        ],
        "test_time": 0.7414942390005308
    },
    "size_test.py:test_mm_cpu_complex64": {
        "operations": [
            4.904999514110386e-06,
            1.971999154193327e-06,
            1.3880016922485083e-06,
            6.1270002333913e-06,
            2.122998921549879e-06,
            1.4380002539837733e-06,
            5.9300000430084765e-06,
            2.132999725290574e-06,
            1.4209999790182337e-06,
            6.805999873904511e-06,
            2.208000296377577e-06,
            1.5589994291076437e-06,
            5.982999937259592e-06,
            2.1590003598248586e-06,
            1.4319994079414755e-06,
            5.562000296777114e-06,
            2.1129999367985874e-06,
            1.4879988157190382e-06,
            5.855999916093424e-06,
            2.087999746436253e-06,
            1.5020013961475343e-06,
            6.013999154674821e-06,
            1.842500023485627e-05,
            1.541999154142104e-06,
            5.890000466024503e-06,
            2.0420011423993856e-06,
            1.4599991118302569e-06,
            5.797000994789414e-06,
            2.1399991965154186e-06,
            1.4589986676583067e-06,
            5.652000254485756e-06,
            1.0399999155197293e-05,
            1.5309997252188623e-06,
            5.855001290910877e-06,
            2.003000190597959e-06,
            1.5480000001844019e-06,
            6.270000085351057e-06,
            2.0499992388067767e-06,
            1.417998646502383e-06,
            5.8370005717733875e-06,
            2.1239993657218292e-06,
            1.5469995560124516e-06,
            6.461999873863533e-06,
            2.1340001694625244e-06,
            1.4359993656398728e-06,
            5.867999789188616e-06,
            2.0530005713226274e-06,
            1.5260011423379183e-06,
            5.932000931352377e-06,
            2.4679993657628074e-06,
            1.5119985619094223e-06,
            6.6259999584872276e-06,
            2.273998688906431e-06,
            1.4649995137006044e-06,
            6.673999450867996e-06,
            2.2999993234407157e-06,
            1.434000296285376e-06,
            5.679001333191991e-06,
            2.1099986042827368e-06,
            1.3319986464921385e-06,
            6.401000064215623e-06,
            2.335000317543745e-06,
            1.365000571240671e-06
        ],
        "test_time": 0.73864559499998
    },
    "size_test.py:test_mm_cpu_float32": {
        "operations": [
            4.808998710359447e-06,
            2.2860003809910268e-06,
            1.4020006346981972e-06,
            6.201000360306352e-06,
            2.3859993234509602e-06,
            1.456000973121263e-06,
            5.931000487180427e-06,
            2.0060015231138095e-06,
            1.4569995983038098e-06,
            8.671999239595607e-06,
            2.1059986465843394e-06,
            1.4090001059230417e-06,
            5.972999133518897e-06,
            2.370999936829321e-06,
            1.6119993233587593e-06,
            5.67499955650419e-06,
            2.139000571332872e-06,
            1.579001036589034e-06,
            5.77300124859903e-06,
            2.0290008251322433e-06,
            1.5099994925549254e-06,
            6.057000064174645e-06,
            2.0369989215396345e-06,
            1.471998984925449e-06,
            5.812000381411053e-06,
            1.983999027288519e-06,
            1.4500001270789653e-06,
            5.4749998525949195e-06,
            2.082000719383359e-06,
            1.5169989637797698e-06,
            5.5079999583540484e-06,
            1.915999746415764e-06,
            1.4229990483727306e-06,
            5.583999154623598e-06,
            2.007998773478903e-06,
            1.5050009096739814e-06,
            6.9449997681658715e-06,
            2.7160003810422495e-06,
            1.9259987311670557e-06,
            5.926000085310079e-06,
            2.1500000002561137e-06,
            1.6310004866681993e-06,
            1.9189999875379726e-05,
            2.175000190618448e-06,
            1.4659999578725547e-06,
            5.5679993238300085e-06,
            1.9379986042622477e-06,
            1.3760000001639128e-06,
            5.388001227402128e-06,
            1.9060007616644725e-06,
            1.6529993445146829e-06,
            5.914998837397434e-06,
            1.948999852174893e-06,
            1.4960005501052365e-06,
            5.53800055058673e-06,
            2.3180000425782055e-06,
            1.469999915570952e-06,
            5.706000592908822e-06,
            2.1550004021264613e-06,
            1.4899997040629387e-06,
            5.535001037060283e-06,
            2.0260013116057962e-06,
            1.4870001905364916e-06
        ],
        "test_time": 0.7704582419992221
    },
    "size_test.py:test_mm_cpu_float64": {
        "operations": [
            4.370000169728883e-06,
            2.232000042567961e-06,
            1.3979988580103964e-06,
            6.162001227494329e-06,
            2.053999196505174e-06,
            1.5850000636419281e-06,
            5.59599902771879e-06,
            2.165999831049703e-06,
            1.5469995560124516e-06,
            5.9180001699132845e-06,
            2.1230007405392826e-06,
            1.4770012057852e-06,
            5.595000402536243e-06,
            2.2639997041551396e-06,
            1.53700057126116e-06,
            5.600000804406591e-06,
            1.984999471460469e-06,
            1.393998900311999e-06,
            5.644998964271508e-06,
            1.3589000445790589e-05,
            1.5330006135627627e-06,
            5.707999662263319e-06,
            2.1910000214120373e-06,
            1.6610010789008811e-06,
            5.791000148747116e-06,
            2.0019997464260086e-06,
            1.4979996194597334e-06,
            6.948001100681722e-06,
            2.0720017346320674e-06,
            1.6189987945836037e-06,
            5.9180001699132845e-06,
            2.083999788737856e-06,
            1.422000423190184e-06,
            5.779000275651924e-06,
            2.06700133276172e-06,
            1.4429988368647173e-06,
            5.501999112311751e-06,
            2.020999090746045e-06,
            1.460999556002207e-06,
            5.7039997045649216e-06,
            1.9640010577859357e-06,
            1.4779998309677467e-06,
            5.8419991546543315e-06,
            2.038999809883535e-06,
            1.4090001059230417e-06,
            7.0090009103296325e-06,
            2.2730000637238845e-06,
            1.4199995348462835e-06,
            6.18900048721116e-06,
            2.003000190597959e-06,
            1.4960005501052365e-06,
            5.943000360275619e-06,
            2.0669995137723163e-06,
            1.5170007827691734e-06,
            7.15300120646134e-06,
            2.734999725362286e-06,
            1.938999048434198e-06,
            6.064999979571439e-06,
            2.0949992176610976e-06,
            1.3730004866374657e-06,
            5.97200050833635e-06,
            2.2989988792687654e-06,
            1.4849993021925911e-06
        ],
        "test_time": 0.7320565350000834
    },
    "size_test.py:test_mm_cpu_int32": {
        "operations": [
            4.535999323707074e-06,
            2.087999746436253e-06,
            1.3989993021823466e-06,
            5.677999070030637e-06,
            2.050999682978727e-06,
            1.4449997252086177e-06,
            5.1369988796068355e-06,
            2.0549996406771243e-06,
            1.5280002116924152e-06,
            5.4180000006454065e-06,
            2.0930001483066007e-06,
            1.513000825070776e-06,
            6.219001079443842e-06,
            2.1460000425577164e-06,
            1.4379984349943697e-06,
            5.599998985417187e-06,
            2.131999281118624e-06,
            1.4620000001741573e-06,
            5.204999979468994e-06,
            1.958000211743638e-06,
            1.5050009096739814e-06,
            5.1200004236306995e-06,
            1.8259997887071222e-06,
            1.4569995983038098e-06,
            4.9580012273509055e-06,
            2.0080005924683064e-06,
            1.4690012903884053e-06,
            5.224001142778434e-06,
            1.974998667719774e-06,
            1.414999132975936e-06,
            6.10999995842576e-06,
            2.1680007193936035e-06,
            1.5120003808988258e-06,
            5.336998583516106e-06,
            1.8069986253976822e-06,
            1.3539993233280256e-06,
            5.1200004236306995e-06,
            2.0709994714707136e-06,
            1.4510005712509155e-06,
            4.989999069948681e-06,
            2.0120005501667038e-06,
            1.481999788666144e-06,
            4.954001269652508e-06,
            2.0080005924683064e-06,
            1.3830012903781608e-06,
            4.962001185049303e-06,
            1.9840008462779224e-06,
            1.4859997463645414e-06,
            5.081999916001223e-06,
            1.923001036630012e-06,
            1.4510005712509155e-06,
            6.144999133539386e-06,
            2.1949999791104347e-06,
            1.5320001693908125e-06,
            6.129999746917747e-06,
            2.2120002540759742e-06,
            1.6949998098425567e-06,
            5.359999704523943e-06,
            1.9689996406668797e-06,
            1.434000296285376e-06,
            5.160000000614673e-06,
            2.10799953492824e-06,
            1.468000846216455e-06
        ],
        "test_time": 0.7288600730007602
    },
    "size_test.py:test_mm_cpu_int64": {
        "operations": [
            1.0708999980124645e-05,
            3.2389998523285612e-06,
            2.010001480812207e-06,
            5.566998879658058e-06,
            2.017999577219598e-06,
            1.4840006770100445e-06,
            5.309999323799275e-06,
            2.1939995349384844e-06,
            1.4859997463645414e-06,
            5.235000571701676e-06,
            1.9229992176406085e-06,
            1.357999281026423e-06,
            5.4510001064045355e-06,
            2.10799953492824e-06,
            1.462998625356704e-06,
            5.198000508244149e-06,
            2.0699990272987634e-06,
            1.413000063621439e-06,
            5.159001375432126e-06,
            2.0219995349179953e-06,
            1.4009983715368435e-06,
            6.40500002191402e-06,
            2.3550001060357317e-06,
            1.4260003808885813e-06,
            5.543000952457078e-06,
            2.0380011847009882e-06,
            1.5379991964437068e-06,
            6.216001565917395e-06,
            1.9870003598043695e-06,
            1.491000148234889e-06,
            5.57899875275325e-06,
            1.9109993445454165e-06,
            1.3799999578623101e-06,
            5.175001206225716e-06,
            1.991000317502767e-06,
            1.474998498451896e-06,
            5.330000931280665e-06,
            2.0440002117538825e-06,
            1.5090008673723787e-06,
            5.273999704513699e-06,
            2.0039988157805055e-06,
            1.5369987522717565e-06,
            5.2650011639343575e-06,
            1.8470998838893138e-05,
            1.571999746374786e-06,
            5.24200004292652e-06,
            2.132999725290574e-06,
            1.4140005077933893e-06,
            5.582000085269101e-06,
            1.917998815770261e-06,
            1.4970009942771867e-06,
            6.330999894998968e-06,
            2.28400131163653e-06,
            1.51799940795172e-06,
            5.249999958323315e-06,
            2.1500000002561137e-06,
            1.5050009096739814e-06,
            6.50000038149301e-06,
            2.712000423343852e-06,
            2.0589995983755216e-06,
            5.580001015914604e-06,
            2.0239986042724922e-06,
            1.5369987522717565e-06
        ],
        "test_time": 0.7746565939996799
    },
    "size_test.py:test_mm_xla_complex128": {
        "operations": [
            3.35000004270114e-05,
            2.5829995138337836e-06,
            2.234999556094408e-06
        ],
        "test_time": 85.27926657100033
    },
    "size_test.py:test_mm_xla_complex64": {
        "operations": [
            3.5729000956052914e-05,
            3.463999746600166e-06,
            3.1500003387918696e-06
        ],
        "test_time": 84.12120888699974
    },
    "size_test.py:test_mm_xla_float32": {
        "operations": [
            1.5177000022958964e-05,
            2.5249992177123204e-06,
            2.0690004021162167e-06
        ],
        "test_time": 175.14260742799888
    },
    "size_test.py:test_mm_xla_float64": {
        "operations": [
            2.5583000024198554e-05,
            3.909000952262431e-06,
            4.49299841420725e-06
        ],
        "test_time": 181.76147196200145
    },
    "size_test.py:test_mm_xla_int32": {
        "operations": [
            4.0265998904942535e-05,
            4.491999789024703e-06,
            2.8479989850893617e-06,
            3.570599983504508e-05,
            3.2890002330532297e-06,
            2.3449993022950366e-06,
            3.207900044799317e-05,
            2.3899992811493576e-06,
            4.628000169759616e-06,
            2.9900998924858868e-05,
            2.3630000214325264e-06,
            2.2120002540759742e-06,
            3.231499977118801e-05,
            2.631000825203955e-06,
            2.866998329409398e-06,
            3.50560003425926e-05,
            2.392000169493258e-06,
            2.370999936829321e-06,
            3.619800008891616e-05,
            2.7850001060869545e-06,
            2.2519998310599476e-06,
            3.4575999961816706e-05,
            2.437000148347579e-06,
            3.1079998734639958e-06,
            3.128299977106508e-05,
            2.2980002540862188e-06,
            2.189999577240087e-06,
            3.290399945399258e-05,
            2.622999090817757e-06,
            4.7220000851666555e-06,
            3.20310009556124e-05,
            2.7659989427775145e-06,
            2.5810004444792867e-06,
            3.7183999666012824e-05,
            2.594000761746429e-06,
            3.361999915796332e-06,
            8.997300028568134e-05,
            3.0639985197922215e-06,
            2.996999683091417e-06,
            5.3771998864249326e-05,
            2.6489997253520414e-06,
            2.6790003175847232e-06,
            3.557299896783661e-05,
            2.3820011847419664e-06,
            2.272001438541338e-06,
            3.4868999136961065e-05,
            3.0660012271255255e-06,
            2.8449994715629146e-06,
            3.410300087125506e-05,
            2.2940002963878214e-06,
            4.4959997467231005e-06,
            3.201999970769975e-05,
            2.427999788778834e-06,
            2.394999683019705e-06,
            4.685900057666004e-05,
            2.4289984139613807e-06,
            2.655000571394339e-06
        ],
        "test_time": 960.6803035170014
    },
    "size_test.py:test_mm_xla_int64": {
        "operations": [
            3.4904000131064095e-05,
            3.8119997043395415e-06,
            2.427999788778834e-06,
            0.00010448900138726458,
            3.351999112055637e-06,
            2.789000063785352e-06,
            3.156400089210365e-05,
            2.70000055024866e-06,
            5.177998900762759e-06,
            3.4266999136889353e-05,
            2.4479995772708207e-06,
            2.3250013327924535e-06,
            9.978699927160051e-05,
            3.6759993236046284e-06,
            3.1539984775008634e-06,
            3.719199958140962e-05,
            2.826000127242878e-06,
            2.721000782912597e-06,
            8.493899986206088e-05,
            3.0979990697233006e-06,
            2.347000190638937e-06
        ],
        "test_time": 1185.7178772139996
    },
    "smoothl1loss_test.py:test_nn_scalars_reductions_cpu": {
        "operations": [
            8.522399912180845e-05,
            3.541200021572877e-05,
            2.8868000299553387e-05,
            2.7563999537960626e-05,
            2.6532999982009642e-05,
            2.664500061655417e-05
        ],
        "test_time": 0.004558369000733364
    },
    "smoothl1loss_test.py:test_nn_scalars_reductions_xla": {
        "operations": [
            4.209100006846711e-05,
            2.9806000384269282e-05,
            2.990299981320277e-05,
            2.9842998628737405e-05,
            5.28050004504621e-05,
            3.0530000003636815e-05
        ],
        "test_time": 0.019511777001753217
    },
    "smoothl1loss_test.py:test_smooth_l1_loss_bfloat16_cpu": {
        "operations": [
            7.503000051656272e-05,
            4.7147999794106e-05,
            5.288099964673165e-05
        ],
        "test_time": 0.010268179999911808
    },
    "smoothl1loss_test.py:test_smooth_l1_loss_bfloat16_xla": {
        "operations": [
            5.5627000620006584e-05,
            0.0001130600012402283,
            0.00011747600001399405
        ],
        "test_time": 78.04956478299937
    },
    "smoothl1loss_test.py:test_smooth_l1_loss_vs_huber_loss_cpu": {
        "operations": [
            4.510800135903992e-05,
            4.246100070304237e-05,
            3.680800000438467e-05,
            3.898899922205601e-05,
            8.369399984076153e-05,
            6.650300019828137e-05,
            4.578100015351083e-05,
            4.5032000343780965e-05,
            4.3676998757291585e-05,
            4.766300116898492e-05,
            4.302999877836555e-05,
            3.558000025805086e-05,
            4.581800021696836e-05,
            4.764600089401938e-05,
            4.2196001231786795e-05,
            4.7962999815354124e-05,
            6.859400127723347e-05,
            4.549100049189292e-05,
            5.671899998560548e-05,
            4.37380003859289e-05,
            3.572899913706351e-05,
            4.720799915958196e-05,
            4.909999915980734e-05,
            0.00015599399921484292,
            4.3464000555104576e-05,
            4.5124999815016054e-05,
            4.7511999582638964e-05
        ],
        "test_time": 0.015759587000502506
    },
    "smoothl1loss_test.py:test_smooth_l1_loss_vs_huber_loss_xla": {
        "operations": [
            7.085500146786217e-05,
            0.00011192000056325924,
            9.955099994840566e-05
        ],
        "test_time": 68.03995338700042
    },
    "state_dict_test.py:test_load_state_dict_module_pre_hook_cpu": {
        "operations": [
            2.6222000087727793e-05,
            1.4469998859567568e-05
        ],
        "test_time": 0.0028486529990914278
    },
    "state_dict_test.py:test_load_state_dict_module_pre_hook_xla": {
        "operations": [
            2.6665000405046158e-05,
            1.90739992831368e-05
        ],
        "test_time": 0.006294183998761582
    },
    "state_dict_test.py:test_load_state_dict_post_hook_backward_compatibility_cpu": {
        "operations": [
            9.223699998983648e-05,
            5.223900006967597e-05,
            3.577499956008978e-05
        ],
        "test_time": 0.02153983600146603
    },
    "state_dict_test.py:test_load_state_dict_post_hook_backward_compatibility_xla": {
        "operations": [
            0.0011193950012966525,
            3.531000038492493e-05,
            3.547199958120473e-05
        ],
        "test_time": 0.0063998530004028
    },
    "state_dict_test.py:test_load_state_dict_post_hook_cpu": {
        "operations": [
            2.4267999833682552e-05,
            2.282999957969878e-05,
            1.4928000382496975e-05,
            1.2806000086129643e-05
        ],
        "test_time": 0.0022620239997195313
    },
    "state_dict_test.py:test_load_state_dict_post_hook_xla": {
        "operations": [
            2.198000038333703e-05,
            2.214399864897132e-05,
            1.4798999472986907e-05,
            1.2501999663072638e-05
        ],
        "test_time": 0.0042676829998526955
    },
    "state_dict_test.py:test_load_state_dict_pre_hook_cpu": {
        "operations": [
            1.5985000572982244e-05
        ],
        "test_time": 0.002594755000245641
    },
    "state_dict_test.py:test_load_state_dict_pre_hook_xla": {
        "operations": [
            2.6683999749366194e-05
        ],
        "test_time": 25.490597263999007
    },
    "state_dict_test.py:test_state_dict_cpu": {
        "operations": [
            7.532500058005098e-05,
            1.868999970611185e-05
        ],
        "test_time": 0.00309189500148932
    },
    "state_dict_test.py:test_state_dict_xla": {
        "operations": [
            6.639999992330559e-05,
            0.00011377400005585514
        ],
        "test_time": 61.21201360099985
    },
    "sum_test.py:test_sum_cpu": {
        "operations": [
            5.8368999816593714e-05
        ],
        "test_time": 0.0015659400014556013
    },
    "sum_test.py:test_sum_xla": {
        "operations": [
            0.0009636579998186789
        ],
        "test_time": 0.04280233600002248
    },
    "synchronize_test.py:test_copy_streams": {
        "operations": [],
        "test_time": 0.03225143400050001
    },
    "tensor_test.py:test_tensor_set_cpu": {
        "operations": [
            4.3620000724331476e-05,
            1.8840000848285854e-05,
            1.5859999621170573e-05,
            8.51400000101421e-06
        ],
        "test_time": 0.0023464980004064273
    },
    "tensor_test.py:test_tensor_set_xla": {
        "operations": [
            0.0023377500001515727
        ],
        "test_time": 0.07920082199962053
    },
    "to_test.py:test_to_cpu_float32": {
        "operations": [
            0.0001063840009010164,
            4.1490999137749895e-05,
            2.4828001187415794e-05,
            4.0933999116532505e-05,
            1.656399945204612e-05,
            1.450200034014415e-05,
            1.95419997908175e-05,
            4.205799996270798e-05,
            2.4020000637392513e-05
        ],
        "test_time": 0.0022900629992363974
    },
    "to_test.py:test_to_xla_float32": {
        "operations": [
            3.881700104102492e-05,
            3.7245999919832684e-05,
            2.493600004527252e-05,
            0.004563106998830335,
            3.858900163322687e-05,
            0.048937671999738086,
            0.0033215149996976834,
            9.11070001166081e-05,
            5.867899926670361e-05
        ],
        "test_time": 0.059598257999823545
    },
    "triangular_solve_test.py:test_triangular_solve_cpu_complex128": {
        "operations": [
            0.00018754700067802332,
            2.4590000975877047e-05,
            1.9348999558133073e-05,
            1.7456000932725146e-05,
            1.9842000256176107e-05,
            3.085200114583131e-05,
            1.7407000996172428e-05,
            1.6785999832791276e-05,
            3.607100006774999e-05,
            2.8627000574488193e-05,
            2.7905000024475157e-05,
            2.7252999643678777e-05,
            2.796099943225272e-05,
            2.717300048971083e-05,
            2.6305999199394137e-05,
            2.6112000341527164e-05,
            2.475200017215684e-05,
            2.3536000298918225e-05,
            2.3784001314197667e-05,
            2.4044000383582897e-05,
            2.3501999748987146e-05,
            2.3787000827724114e-05,
            2.234900057374034e-05,
            2.3129998226067983e-05,
            0.022864221000418183,
            3.796800046984572e-05,
            2.864499947463628e-05,
            2.7549000151338987e-05,
            2.6495999918552116e-05,
            3.7619000067934394e-05,
            2.562000008765608e-05,
            2.6106999939656816e-05,
            2.678300006664358e-05,
            2.4413999199168757e-05,
            2.352800038352143e-05,
            2.3597998733748682e-05,
            2.5348999770358205e-05,
            2.4070001018117182e-05,
            4.2175999624305405e-05,
            2.3366999812424183e-05,
            0.022297497998806648,
            6.868799937365111e-05,
            3.18750007863855e-05,
            3.127899981336668e-05,
            2.9689999792026356e-05,
            2.9535000066971406e-05,
            2.8917998861288652e-05,
            3.0087001505307853e-05
        ],
        "test_time": 0.06666346100064402
    },
    "triangular_solve_test.py:test_triangular_solve_cpu_complex64": {
        "operations": [
            4.536800042842515e-05,
            2.6985000658896752e-05,
            2.5529001504764892e-05,
            2.3304999558604322e-05,
            2.3939999664435163e-05,
            2.5457000447204337e-05,
            2.2619000446866266e-05,
            2.2840000383439474e-05,
            2.7658999897539616e-05,
            2.6058000003104098e-05,
            2.5162999008898623e-05,
            2.503200084902346e-05,
            2.43520007643383e-05,
            2.470499930495862e-05,
            2.511500133550726e-05,
            2.428500010864809e-05,
            2.5633000404923223e-05,
            2.363900057389401e-05,
            2.2872000045026653e-05,
            2.3220000002766028e-05,
            2.3815000531612895e-05,
            2.2866999643156305e-05,
            2.370999936829321e-05,
            2.347999907215126e-05,
            7.63040006859228e-05,
            2.583700006653089e-05,
            2.6404999516671523e-05,
            2.4904000383685343e-05,
            0.02619593900089967,
            4.20320011471631e-05,
            3.688000106194522e-05,
            2.642599974933546e-05,
            2.7277001208858564e-05,
            2.4850998670444824e-05,
            2.355799915676471e-05,
            2.356100048928056e-05,
            2.4058999770204537e-05,
            2.3595999664394185e-05,
            2.3271999452845193e-05,
            2.331200084881857e-05,
            3.599699994083494e-05,
            2.857999970728997e-05,
            3.2021000151871704e-05,
            2.824200055329129e-05,
            2.906400004576426e-05,
            2.7688000045600347e-05,
            2.732800021476578e-05,
            2.740399941103533e-05
        ],
        "test_time": 0.04544684199936455
    },
    "triangular_solve_test.py:test_triangular_solve_cpu_float32": {
        "operations": [
            0.02203916300095443,
            2.1084999389131553e-05,
            1.755599987518508e-05,
            1.724600042507518e-05,
            1.6988000425044447e-05,
            2.0018000213894993e-05,
            3.14130011247471e-05,
            1.7039999875123613e-05,
            3.4127000617445447e-05,
            2.7207999664824456e-05,
            3.565199949662201e-05,
            2.5850000383798033e-05,
            2.5294000806752592e-05,
            2.544999915699009e-05,
            2.476699955877848e-05,
            2.494899854355026e-05,
            2.3534999854746275e-05,
            2.6685000193538144e-05,
            2.3769000108586624e-05,
            2.2653000996797346e-05,
            2.3624999812454917e-05,
            2.2976999389356934e-05,
            2.2760999854654074e-05,
            2.2958000045036897e-05,
            4.092899871466216e-05,
            2.5630000891396776e-05,
            2.5718998585944064e-05,
            4.6655999540234916e-05,
            2.5725999876158312e-05,
            2.5175999326165766e-05,
            2.5719999030116014e-05,
            2.4666000172146596e-05,
            2.6203999368590303e-05,
            2.45060000452213e-05,
            2.3029000658425502e-05,
            2.325000059499871e-05,
            2.3095999495126307e-05,
            2.3090000468073413e-05,
            2.295299964316655e-05,
            2.1948999346932396e-05,
            0.004677369999626535,
            0.0016738739996071672,
            3.322700104035903e-05,
            3.194499913661275e-05,
            3.0760998924961314e-05,
            3.944300078728702e-05,
            3.1300998671213165e-05,
            2.9680000807275064e-05
        ],
        "test_time": 0.04571315700013656
    },
    "triangular_solve_test.py:test_triangular_solve_cpu_float64": {
        "operations": [
            3.291899884061422e-05,
            2.652999864949379e-05,
            2.363900057389401e-05,
            2.335600038350094e-05,
            2.5276000087615103e-05,
            2.3352000425802544e-05,
            2.348400084883906e-05,
            2.210400089097675e-05,
            2.7325000701239333e-05,
            2.6902000172412954e-05,
            2.653499905136414e-05,
            2.5753999580047093e-05,
            2.53549987974111e-05,
            2.4998000299092382e-05,
            2.6834999516722746e-05,
            2.647600013006013e-05,
            2.524599949538242e-05,
            2.384000072197523e-05,
            2.2901000193087384e-05,
            2.2666999939247034e-05,
            2.5920000553014688e-05,
            2.285899972775951e-05,
            2.3202001102617942e-05,
            2.2013999114278704e-05,
            9.687100100563839e-05,
            2.798999958031345e-05,
            2.6294001145288348e-05,
            2.4760998712736182e-05,
            2.6793999495566823e-05,
            2.6904001060756855e-05,
            2.5704999643494375e-05,
            2.5842999093583785e-05,
            2.6072999389725737e-05,
            2.346800101804547e-05,
            2.3542001144960523e-05,
            2.2682001144858077e-05,
            2.378699900873471e-05,
            2.281299930473324e-05,
            2.2576999981538393e-05,
            2.237799890281167e-05,
            3.934599953936413e-05,
            0.0009846239991020411,
            3.359500078659039e-05,
            3.0511000659316778e-05,
            3.0068000341998413e-05,
            2.9149001420591958e-05,
            2.990199936903082e-05,
            2.850599958037492e-05
        ],
        "test_time": 0.017826797000452643
    },
    "triangular_solve_test.py:test_triangular_solve_xla_complex128": {
        "operations": [
            0.0006260820009629242,
            0.001079530000424711,
            0.0011173689999850467,
            0.0010823130014614435,
            0.0014823599994997494,
            0.0010447439999552444,
            0.0011345359998813365,
            0.0010531320003792644,
            0.0009921519995259587,
            0.0021002619996579597,
            0.0010657099992386065,
            0.0012977489986951696,
            0.0014249369996832684,
            0.0011733459996321471,
            0.0011396350000723032,
            0.0011484259994176682,
            0.00111197899968829,
            0.001255408000361058,
            0.0010714219988585683,
            0.0010759880005934974,
            0.0010767479998321505,
            0.0011477520001790253,
            0.001082183998732944,
            0.001061917999322759,
            0.001169974999356782
        ],
        "test_time": 175.70262744499996
    },
    "triangular_solve_test.py:test_triangular_solve_xla_complex64": {
        "operations": [
            0.0010610059998725774,
            0.0010992009993060492,
            0.0010674019995349227,
            0.0011715340006048791,
            0.0012344290007604286,
            0.0010992029983754037,
            0.0011529050007084152,
            0.0011018679997505387,
            0.0011742749993572943,
            0.002937344999736524,
            0.001195599001221126,
            0.001299125000514323,
            0.0013809050014970126,
            0.0011684420005622087,
            0.0011910889988939743,
            0.0014849340004730038,
            0.0011466319992905483,
            0.0011737500008166535,
            0.0010990679984388407,
            0.0011012710001523374,
            0.0011078360003011767,
            0.001167839000117965,
            0.001101630999983172,
            0.0012075249996996718,
            0.00235930999951961,
            0.0011562249983398942,
            0.001726190001136274,
            0.0013474229999701492,
            0.0011830670009658206,
            0.0013692510001419578,
            0.001284541000131867,
            0.0014146150006126845,
            0.001270083999770577,
            0.0011022500002582092,
            0.0010661699998308904,
            0.0013696850000997074,
            0.0011695250013872283,
            0.001106624999010819,
            0.0011195040005986812,
            0.001094875000489992,
            0.0013417620011750842,
            0.0012874240001110593,
            0.0012784529990312876,
            0.0015207259984890698,
            0.002042039999651024,
            0.00134392600011779,
            0.0011464620001788717,
            0.0012332650003372692
        ],
        "test_time": 910.3493201889996
    },
    "triangular_solve_test.py:test_triangular_solve_xla_float32": {
        "operations": [
            0.00048328499906347133,
            0.0007661899999220623,
            0.0004326719990785932,
            0.0004545560004771687,
            0.0008293099999718834,
            0.0008708370005479082,
            0.00044084799992560875,
            0.0004831400001421571,
            0.0005738939998991555,
            0.000977404999503051,
            0.0005341550004231976,
            0.0004210459992464166,
            0.0007006810010352638,
            0.00076084499960416,
            0.00044432299910113215,
            0.0004088240002602106,
            0.0006388159999914933,
            0.000764180998885422,
            0.00043500699939613696,
            0.00048691399933886714,
            0.000817620999441715,
            0.0006387489993358031,
            0.00047195300066960044,
            0.0004344079989095917,
            0.0006413529990823008,
            0.0010535249984968686,
            0.0003821079990302678,
            0.0004002580008091172,
            0.0008937490001699189,
            0.0010544569995545316,
            0.000397103000068455,
            0.0004106169999431586,
            0.0006500560011772905,
            0.0007848479999665869,
            0.0004414429986354662,
            0.00039153599936980754,
            0.0009317639996879734,
            0.0008784099991316907,
            0.0005747550003434299,
            0.0005922990003455197,
            0.0005505360004463,
            0.0006818330002715811,
            0.0004172869994363282,
            0.000530671999513288,
            0.0006515599998238031,
            0.0008056339993345318,
            0.0004027249997307081
        ],
        "test_time": 910.0101362150017
    },
    "triangular_solve_test.py:test_triangular_solve_xla_float64": {
        "operations": [
            0.0005269729990686756,
            0.0007957350007927744,
            0.00045973600026627537,
            0.00040976499985845294,
            0.0008441210011369549,
            0.0006332689990813378,
            0.00046233499961090274,
            0.0004924599998048507,
            0.0008941120013332693,
            0.0007603639987792121,
            0.00045470500117517076,
            0.00038606399903073907,
            0.0007916869999462506,
            0.0007350260002567666,
            0.0003465350000624312,
            0.00045594900075229816,
            0.0006805829998484114,
            0.0006105280008341651,
            0.0004014610003650887,
            0.00041559400051482953,
            0.0006368029989971546,
            0.0006521190007333644,
            0.0004466779992071679,
            0.0005116590000397991,
            0.0006381809998856625,
            0.0006984970004850766
        ],
        "test_time": 270.86157869199997
    },
    "unbind_test.py:test_unbind_cpu": {
        "operations": [
            6.679899888695218e-05,
            1.772799987520557e-05,
            9.04099942999892e-06,
            4.6256000132416375e-05,
            7.983000614331104e-06,
            1.8226999600301497e-05,
            5.678999514202587e-06
        ],
        "test_time": 0.02491739400102233
    },
    "unbind_test.py:test_unbind_xla": {
        "operations": [
            0.0001248640000994783,
            0.00012572200103022624,
            3.442300112510566e-05,
            0.00017647300046519376,
            2.073500036203768e-05,
            0.00032167499921342824,
            2.5802000891417265e-05
        ],
        "test_time": 376.65674851699987
    },
    "unsqueeze_test.py:test_unsqueeze_view_cpu": {
        "operations": [
            5.879499985894654e-05
        ],
        "test_time": 0.0025474859994574217
    },
    "unsqueeze_test.py:test_unsqueeze_view_xla": {
        "operations": [
            3.683599970827345e-05
        ],
        "test_time": 0.030073420999542577
    },
    "variable_test.py:test_indexing_cpu": {
        "operations": [
            2.509300065867137e-05,
            1.2570000762934797e-05,
            1.1624000762822106e-05
        ],
        "test_time": 0.0895827910007938
    },
    "variable_test.py:test_indexing_duplicates_cpu": {
        "operations": [
            1.0245001249131747e-05,
            1.4010000086273067e-05,
            1.3072000001557171e-05,
            1.2402000720612705e-05
        ],
        "test_time": 0.0025800799994613044
    },
    "variable_test.py:test_indexing_duplicates_xla": {
        "operations": [
            1.467500078433659e-05,
            4.9586999011808075e-05,
            5.806800072605256e-05,
            6.639200000790879e-05
        ],
        "test_time": 0.2552014949997101
    },
    "variable_test.py:test_indexing_xla": {
        "operations": [
            1.7074000425054692e-05,
            5.229599992162548e-05,
            2.7071999284089543e-05
        ],
        "test_time": 1.5133875089995854
    },
    "variable_test.py:test_inplace_cpu": {
        "operations": [
            4.4520000301417895e-05
        ],
        "test_time": 0.02989229500053625
    },
    "variable_test.py:test_inplace_xla": {
        "operations": [
            0.0016598959991824813
        ],
        "test_time": 0.2276384289998532
    },
    "variable_test.py:test_pyscalar_conversions_cpu": {
        "operations": [
            5.903999954171013e-05
        ],
        "test_time": 0.0019108140004391316
    },
    "variable_test.py:test_pyscalar_conversions_xla": {
        "operations": [
            0.0015786600015417207
        ],
        "test_time": 0.09166758699939237
    },
    "variable_test.py:test_reentrant_priority_cpu": {
        "operations": [
            1.3311000657267869e-05,
            9.39599885896314e-06,
            7.710999852861278e-06,
            7.196000296971761e-06,
            7.983000614331104e-06,
            7.778999133734033e-06,
            7.15400165063329e-06,
            7.081998774083331e-06,
            7.1999984356807545e-06,
            7.110000296961516e-06
        ],
        "test_time": 0.0023230999995575985
    },
    "variable_test.py:test_reentrant_priority_xla": {
        "operations": [
            3.70660000044154e-05,
            2.377700002398342e-05,
            2.5348001145175658e-05,
            2.5060000552912243e-05,
            2.1134001144673675e-05,
            2.0493998817983083e-05,
            2.244200004497543e-05,
            2.2004000129527412e-05,
            2.0958999812137336e-05,
            2.09400004678173e-05
        ],
        "test_time": 0.17041811299895926
    },
    "variable_test.py:test_simple_reentrant_cpu": {
        "operations": [
            1.6006999430828728e-05,
            5.982999937259592e-06
        ],
        "test_time": 0.0015028300003905315
    },
    "variable_test.py:test_simple_reentrant_xla": {
        "operations": [
            1.982100002351217e-05,
            6.293999831541441e-06
        ],
        "test_time": 19.393833378000636
    },
    "vonmises_test.py:test_vonmises_shape_scalar_params_cpu": {
        "operations": [
            0.03553440299947397
        ],
        "test_time": 0.11546701899897016
    },
    "vonmises_test.py:test_vonmises_shape_scalar_params_xla": {
        "operations": [
            0.00020288999985496048
        ],
        "test_time": 0.0024693939994904213
    },
    "vonmises_test.py:test_vonmises_shape_tensor_params_cpu": {
        "operations": [
            0.00020058099835296161
        ],
        "test_time": 0.002578547000666731
    },
    "vonmises_test.py:test_vonmises_shape_tensor_params_xla": {
        "operations": [
            0.05503499200131046
        ],
        "test_time": 115.03133429399895
    },
    "xavier_uniform_test.py:test_xavier_uniform_cpu": {
        "operations": [
            9.928899999067653e-05,
            0.004363706000731327,
            7.044400081213098e-05,
            0.0024955119988590013
        ],
        "test_time": 0.12581797699931485
    },
    "xavier_uniform_test.py:test_xavier_uniform_errors_on_inputs_smaller_than_2d_cpu": {
        "operations": [],
        "test_time": 0.0012816279995604418
    },
    "xavier_uniform_test.py:test_xavier_uniform_errors_on_inputs_smaller_than_2d_xla": {
        "operations": [],
        "test_time": 0.0011665300007734913
    },
    "xavier_uniform_test.py:test_xavier_uniform_xla": {
        "operations": [
            0.0029366569997364422,
            0.003991982999650645,
            0.0038636110002698842,
            0.0033519089993205853
        ],
        "test_time": 93.3934595210012
    },
    "zero_grad_test.py:test_zero_grad_cpu": {
        "operations": [
            2.994799979205709e-05,
            9.187999239657074e-06,
            4.019799962406978e-05,
            2.9304001145646907e-05,
            2.7676998797687702e-05,
            3.59799996658694e-05
        ],
        "test_time": 0.004459253999812063
    },
    "zero_grad_test.py:test_zero_grad_xla": {
        "operations": [
            1.6128000424942002e-05,
            8.909999451134354e-06,
            0.00015315800010284875,
            8.616500053904019e-05,
            0.00011742500100808684,
            6.394099909812212e-05
        ],
        "test_time": 38.83409073000075
    },
    "zeros_test.py:test_zeros_cpu": {
        "operations": [
            4.781800089403987e-05,
            5.0287999329157174e-05,
            5.9809999584103934e-05,
            1.7827000192482956e-05,
            9.802000931813382e-06,
            9.510000381851569e-06,
            8.388999049202539e-06,
            1.560400050948374e-05
        ],
        "test_time": 0.003263022999817622
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_cpu_bool": {
        "operations": [
            2.4700999347260222e-05
        ],
        "test_time": 0.001159009001639788
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_cpu_complex64": {
        "operations": [
            2.228499943157658e-05
        ],
        "test_time": 0.0010426210010336945
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_cpu_float16": {
        "operations": [
            2.247600059490651e-05
        ],
        "test_time": 0.0010520310006540967
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_cpu_float32": {
        "operations": [
            2.337200021429453e-05
        ],
        "test_time": 0.0013518300002033357
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_cpu_int16": {
        "operations": [
            2.2000000171829015e-05
        ],
        "test_time": 0.0011200890003237873
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_cpu_int64": {
        "operations": [
            2.2154999896883965e-05
        ],
        "test_time": 0.0010162849994230783
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_cpu_uint8": {
        "operations": [
            2.5258999812649563e-05
        ],
        "test_time": 0.0011253390002821106
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_xla_bool": {
        "operations": [
            0.0006248850004340056
        ],
        "test_time": 0.0017674820010142867
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_xla_complex64": {
        "operations": [
            0.0005435870007204358
        ],
        "test_time": 0.001605415000085486
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_xla_float16": {
        "operations": [
            0.0005059979994257446
        ],
        "test_time": 0.001536842000859906
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_xla_float32": {
        "operations": [
            0.0004622129999916069
        ],
        "test_time": 0.0014727910001965938
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_xla_int16": {
        "operations": [
            0.0004611290005414048
        ],
        "test_time": 0.001478676000260748
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_xla_int64": {
        "operations": [
            0.0005009929991501849
        ],
        "test_time": 0.001579258001584094
    },
    "zeros_test.py:test_zeros_dtype_layout_device_match_xla_uint8": {
        "operations": [
            0.00045557400153484195
        ],
        "test_time": 0.0014725359997100895
    },
    "zeros_test.py:test_zeros_like_cpu": {
        "operations": [
            3.341300180181861e-05
        ],
        "test_time": 0.001935243999469094
    },
    "zeros_test.py:test_zeros_like_multiple_device_cpu": {
        "operations": [],
        "test_time": 0.00128484299966658
    },
    "zeros_test.py:test_zeros_like_multiple_device_xla": {
        "operations": [],
        "test_time": 0.0012286669989407528
    },
    "zeros_test.py:test_zeros_like_xla": {
        "operations": [
            5.594299909716938e-05
        ],
        "test_time": 0.004964265999660711
    },
    "zeros_test.py:test_zeros_out_cpu": {
        "operations": [
            2.2247000742936507e-05,
            1.0047000614576973e-05,
            2.5459999960730784e-05,
            1.1014999472536147e-05,
            1.0488000043551438e-05,
            6.215001121745445e-06,
            9.27700057218317e-06,
            5.764999514212832e-06
        ],
        "test_time": 0.07030783700065513
    },
    "zeros_test.py:test_zeros_out_xla": {
        "operations": [
            4.8844000048120506e-05,
            0.00039652899977227207,
            4.727600025944412e-05,
            1.839099968492519e-05,
            4.649199945561122e-05,
            1.7284999557887204e-05,
            4.405700019560754e-05,
            1.6087000403786078e-05
        ],
        "test_time": 0.045332276000408456
    },
    "zeros_test.py:test_zeros_xla": {
        "operations": [
            0.0005509580005309545,
            0.0014765699997951742,
            0.0004588770007103449,
            0.00046948100134613924,
            0.0004837159995076945
        ],
        "test_time": 0.19828678900012164
    }
}